Mastering the A-Z of Data Science & Machine Learning
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1
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Introduction to the Course and Your Instructor
FREE PREVIEW
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Introduction to Instructor
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Course Code Notebooks and Materials
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2
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Introduction to the Course: Focus of the Course-Part 1
FREE PREVIEW
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Introduction to the Course: Focus of the Course-Part 2
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Basics of Programming: Understanding the Algorithm
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Basics of Programming: FlowCharts and Pseudocodes
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Basics of Programming: Example of Algorithms- Making Tea Problem
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Basics of Programming: Example of Algorithms-Searching Minimun
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Basics of Programming: Example of Algorithms-Sorting Problem
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Basics of Programming: Sorting Problem in Python
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Why Python and Jupyter Notebook: Why Python
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Why Python and Jupyter Notebook: Why Jupyter Notebooks
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Installation of Anaconda and IPython Shell: Installing Python and Jupyter Anacon
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Installation of Anaconda and IPython Shell: Your First Python Code- Hello World
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Installation of Anaconda and IPython Shell: Coding in IPython Shell
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Variable and Operator: Variables
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Variable and Operator: Operators
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Variable and Operator: Variable Name Quiz
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Variable and Operator: Bool Data Type in Python
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Variable and Operator: Comparison in Python
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Variable and Operator: Combining Comparisons in Python
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Variable and Operator: Combining Comparisons Quiz
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Python Useful function: Python Function- Round
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Python Useful function: Python Function- Divmod
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Python Useful function: Python Function- Is instance and PowFunctions
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Python Useful function: Python Function- Input
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Control Flow in Python: If Python Condition
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Control Flow in Python: if Elif Else Python Conditions
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Control Flow in Python: More on if Elif Else Python Conditions
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Control Flow in Python: Indentations
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Control Flow in Python: Comments and Problem Solving Practice With If
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Control Flow in Python: While Loop
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Control Flow in Python: While Loop break Continue
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Control Flow in Python: For Loop
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Control Flow in Python: Else In For Loop
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Control Flow in Python: Loops Practice-Sorting Problem
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Function and Module in Python: Functions in Python
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Function and Module in Python: DocString
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Function and Module in Python: Input Arguments
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Function and Module in Python: Multiple Input Arguments
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Function and Module in Python: Ordering Multiple Input Arguments
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Function and Module in Python: Output Arguments and Return Statement
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Function and Module in Python: Function Practice-Output Arguments and Return Statement
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Function and Module in Python: Variable Number of Input Arguments
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Function and Module in Python: Variable Number of Input Arguments as Dictionary
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Function and Module in Python: Default Values in Python
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Function and Module in Python: Modules in Python
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Function and Module in Python: Making Modules in Python
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Function and Module in Python: Function Practice-Sorting List in Python
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String in Python: Strings
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String in Python: Multi Line Strings
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String in Python: Indexing Strings
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String in Python: String Methods
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String in Python: String Escape Sequences
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Data Structure (List, Tuple, Set, Dictionary): Introduction to Data Structure
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Data Structure (List, Tuple, Set, Dictionary): Defining and Indexing
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Data Structure (List, Tuple, Set, Dictionary): Insertion and Deletion
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Data Structure (List, Tuple, Set, Dictionary): Python Practice-Insertion and Deletion
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Data Structure (List, Tuple, Set, Dictionary): Deep Copy or Reference Slicing
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Data Structure (List, Tuple, Set, Dictionary): Exploring Methods Using TAB Completion
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Data Structure (List, Tuple, Set, Dictionary): Data Structure Abstract Ways
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Data Structure (List, Tuple, Set, Dictionary): Data Structure Practice
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NumPy for Numerical Data Processing: Introduction to NumPy
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NumPy for Numerical Data Processing: NumPy Dimensions
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NumPy for Numerical Data Processing: NumPy Shape, Size and Bytes
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NumPy for Numerical Data Processing: Arange, Random and Reshape-Part 1
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NumPy for Numerical Data Processing: Arange, Random and Reshape-Part 2
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NumPy for Numerical Data Processing: Slicing-Part 1
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NumPy for Numerical Data Processing: Slicing-Part 2
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NumPy for Numerical Data Processing: NumPy Masking
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NumPy for Numerical Data Processing: NumPy BroadCasting and Concatination
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NumPy for Numerical Data Processing: NumPy ufuncs Speed Test
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Pandas for Data Manipulation: Introduction to Pandas
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Pandas for Data Manipulation: Pandas Series
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Pandas for Data Manipulation: Pandas Data Frame
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Pandas for Data Manipulation: Pandas Missing Values
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Pandas for Data Manipulation: Pandas .loc and .iloc
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Pandas for Data Manipulation: Pandas Practice-Using COVID19 Data -Part 1
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Pandas for Data Manipulation: Pandas Practice-Using COVID19 Data -Part 2
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Matplotlib, Seaborn, and Bokeh for Data Visualization: Introduction to Matplotlib
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Matplotlib, Seaborn, and Bokeh for Data Visualization: Seaborn Vs. Matplotlib Style
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Matplotlib, Seaborn, and Bokeh for Data Visualization: Histograms Kdeplot
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Matplotlib, Seaborn, and Bokeh for Data Visualization: Seaborn Pairplot and Jointplot
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Matplotlib, Seaborn, and Bokeh for Data Visualization: Seaborn Pairplot using Iris Data
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Matplotlib, Seaborn, and Bokeh for Data Visualization: Introduction to Bokeh
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Matplotlib, Seaborn, and Bokeh for Data Visualization: Bokeh Gridplot
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Scikit-Learn for Machine Learning: Introduction to Scikit-Learn
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Scikit-Learn for Machine Learning: Scikit-Learn for Linear Regression
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Scikit-Learn for Machine Learning: Scikit-Learn for SVM and Random Forests
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Scikit-Learn for Machine Learning: ScikitLearn- Trend Analysis COVID19
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3
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Introduction to the Course: Focus of the Course
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Introduction to the Course: Content of the Course
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NumPy for Numerical Data Processing: Ufuncs Add, Sum and Plus Operators
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NumPy for Numerical Data Processing: Ufuncs Subtract Power Mod
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NumPy for Numerical Data Processing: Ufuncs Comparisons Logical Operators
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NumPy for Numerical Data Processing: Ufuncs Comparisons Logical Operators Quiz
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NumPy for Numerical Data Processing: Ufuncs Comparisons Logical Operators Solution
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NumPy for Numerical Data Processing: Ufuncs Output Argument
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NumPy for Numerical Data Processing: NumPy Playing with Images
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NumPy for Numerical Data Processing: NumPy Playing with Images Quiz
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NumPy for Numerical Data Processing: NumPy Playing with Images Solution
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NumPy for Numerical Data Processing: NumPy KNN Classifier fromScratch
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NumPy for Numerical Data Processing: NumPy Structured Arrays
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NumPy for Numerical Data Processing: NumPy Structured Arrays Quiz
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NumPy for Numerical Data Processing: NumPy Structured Arrays Solution
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Pandas for Data Manipulation and Understanding: Introduction to Pandas
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Pandas for Data Manipulation and Understanding: Pandas Series
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Pandas for Data Manipulation and Understanding: Pandas DataFrame
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Pandas for Data Manipulation and Understanding: Pandas DataFrame Quiz
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Pandas for Data Manipulation and Understanding: Pandas Missing Values
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Pandas for Data Manipulation and Understanding: Pandas in Practice
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Pandas for Data Manipulation and Understanding: Pandas Loc Iloc
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Pandas for Data Manipulation and Understanding: Pandas Group by
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Pandas for Data Manipulation and Understanding: Pandas Group by Quiz
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Pandas for Data Manipulation and Understanding: Hierarchical Indexing
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Pandas for Data Manipulation and Understanding: Pandas Group by Solution
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Pandas for Data Manipulation and Understanding: Pandas Rolling
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Pandas for Data Manipulation and Understanding: Pandas Rolling Quiz
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Pandas for Data Manipulation and Understanding: Pandas Rolling Solution
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Pandas for Data Manipulation and Understanding: Pandas Where
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Pandas for Data Manipulation and Understanding: Pandas Clip
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Pandas for Data Manipulation and Understanding: Pandas Clip Quiz
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Pandas for Data Manipulation and Understanding: Pandas Clip Solution
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Pandas for Data Manipulation and Understanding: Pandas Merge
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Pandas for Data Manipulation and Understanding: Pandas Merge Quiz
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Pandas for Data Manipulation and Understanding: Pandas Pivot Table
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Pandas for Data Manipulation and Understanding: Pandas Strings
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Pandas for Data Manipulation and Understanding: Pandas Merge Solution
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Pandas for Data Manipulation and Understanding: Pandas DateTime
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Pandas for Data Manipulation and Understanding: Pandas Hands On COVID19 Data
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Pandas for Data Manipulation and Understanding: Pandas Hands On COVID19 Data Bug
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Matplotlib for Data Visualization: Introduction to Matplotlib
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Matplotlib for Data Visualization: Matplotlib Multiple Plots
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Matplotlib for Data Visualization: Matplotlib Colors and Styles
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Matplotlib for Data Visualization: Matplotlib Colors and Styles Quiz
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Matplotlib for Data Visualization: Matplotlib Colors and Styles Solution
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Matplotlib for Data Visualization: Matplotlib Colors and Styles Shortcuts
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Matplotlib for Data Visualization: Matplotlib Axis Limits
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Matplotlib for Data Visualization: Matplotlib Axis Limits Quiz
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Matplotlib for Data Visualization: Matplotlib Axis Limits Solution
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Matplotlib for Data Visualization: Matplotlib Legends Labels
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Matplotlib for Data Visualization: Matplotlib Set Function
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Matplotlib for Data Visualization: Matplotlib Set Function Quiz
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Matplotlib for Data Visualization: Matplotlib Set Function Solution
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Matplotlib for Data Visualization: Matplotlib Markers
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Matplotlib for Data Visualization: Matplotlib Markers Randomplots
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Matplotlib for Data Visualization: Matplotlib Scatter Plot
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Matplotlib for Data Visualization: Matplotlib Contour Plot Quiz
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Pandas for Data Manipulation and Understanding: Pandas DataFrame Solution
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Matplotlib for Data Visualization: Matplotlib Contour Plot
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Matplotlib for Data Visualization: Matplotlib Histograms
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Matplotlib for Data Visualization: Matplotlib Contour Plot Solution
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Matplotlib for Data Visualization: Matplotlib Subplots
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Matplotlib for Data Visualization: Matplotlib Subplots Quiz
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Matplotlib for Data Visualization: Matplotlib Subplots Solution
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Matplotlib for Data Visualization: Matplotlib 3D Introduction
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Matplotlib for Data Visualization: Matplotlib 3D Scatter Plots
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Matplotlib for Data Visualization: Matplotlib 3D Scatter Plots Quiz
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Matplotlib for Data Visualization: Matplotlib 3D Scatter Plots Solution
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Matplotlib for Data Visualization: Matplotlib 3D Surface Plots
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Seaborn for Data Visualization: Introduction to Seaborn
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Seaborn for Data Visualization: Seaborn Relplot
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Seaborn for Data Visualization: Seaborn Relplot Quiz
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Seaborn for Data Visualization: Seaborn Relplot Kind Line
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Seaborn for Data Visualization: Seaborn Relplot Solution
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Seaborn for Data Visualization: Seaborn Relplot Facets
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Seaborn for Data Visualization: Seaborn Relplot Facets Quiz
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Seaborn for Data Visualization: Seaborn Relplot Facets Solution
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Seaborn for Data Visualization: Seaborn Catplot
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Seaborn for Data Visualization: Seaborn Heatmaps
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Bokeh for Interactive Plotting: Introduction to Bokeh
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Bokeh for Interactive Plotting: Bokeh Multiplots Markers
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Bokeh for Interactive Plotting: Bokeh Multiplots Grid Plot
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Bokeh for Interactive Plotting: Bokeh Multiplots Grid Plot Quiz
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Bokeh for Interactive Plotting: Bokeh Multiplots Grid Plot Solution
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Plotly for 3D Interactive Plotting: Plotly 3D Interactive Scatter Plot
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Plotly for 3D Interactive Plotting: Plotly 3D Interactive Scatter Plot Quiz
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Plotly for 3D Interactive Plotting: Plotly 3D Interactive Scatter Plot Solution
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Plotly for 3D Interactive Plotting: Plotly 3D Interactive Surface Plot
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Plotly for 3D Interactive Plotting: Plotly 3D Interactive Surface Plot Quiz
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Plotly for 3D Interactive Plotting: Plotly 3D Interactive Surface Plot Solution
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Geographic Maps with Folium: Geographic Maps with Folium using COVID-19 Data
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Geographic Maps with Folium: Geographic Maps with Folium using COVID-19 Data Quiz
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Geographic Maps with Folium: Geographic Maps with Folium using COVID-19 Data Solution
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Pandas for Plotting: Pandas for Plotting
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5
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Introduction to the Course: Focus of the Course
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Introduction to the Course: Python Practical of the Course
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Why Machine Learning: Machine Learning Applications-Part 1
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Why Machine Learning: Machine Learning Applications-Part 2
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Why Machine Learning: Why Machine Learning is Trending Now
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Process of Learning from Data: Supervised Learning
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Process of Learning from Data: UnSupervised Learning and Reinforcement Learning
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Machine Learning Methods: Features
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Machine Learning Methods: Features Practice with Python
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Machine Learning Methods: Regression
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Machine Learning Methods: Regression Practice with Python
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Machine Learning Methods: Classsification
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Machine Learning Methods: Classification Practice with Python
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Machine Learning Methods: Clustering
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Machine Learning Methods: Clustering Practice with Python
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Data Preparation and Preprocessing: Handling Image Data
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Data Preparation and Preprocessing: Handling Video and Audio Data
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Data Preparation and Preprocessing: Handling Text Data
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Data Preparation and Preprocessing: One Hot Encoding
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Data Preparation and Preprocessing: Data Standardization
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Machine Learning Models and Optimization: Machine Learning Model 1
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Machine Learning Models and Optimization: Machine Learning Model 2
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Machine Learning Models and Optimization: Machine Learning Model 3
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Machine Learning Models and Optimization: Training Process, Error, Cost and Loss
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Machine Learning Models and Optimization: Optimization
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Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 1
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Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 2
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Building Machine Learning Model from Scratch: Minimun-to-mean Distance Classifier from Scratch- Part 1
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Building Machine Learning Model from Scratch: Minimun-to-mean Distance Classifier from Scratch- Part 2
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Building Machine Learning Model from Scratch: K-means Clustering from Scratch- Part 1
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Building Machine Learning Model from Scratch: K-means Clustering from Scratch- Part 2
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Overfitting, Underfitting and Generalization: Overfitting Introduction
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Overfitting, Underfitting and Generalization: Overfitting example on Python
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Overfitting, Underfitting and Generalization: Regularization
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Overfitting, Underfitting and Generalization: Generalization
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Overfitting, Underfitting and Generalization: Data Snooping and the Test Set
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Overfitting, Underfitting and Generalization: Cross-validation
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Machine Learning Model Performance Metrics: The Accuracy
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Machine Learning Model Performance Metrics: The Confusion Matrix
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Dimensionality Reduction: The Curse of Dimensionality
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Dimensionality Reduction: The Principal Component Analysis (PCA)
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Deep Learning Overview: Introduction to Deep Neural Networks (DNN)
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Deep Learning Overview: Introduction to Convolutional Neural Networks (CNN)
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Deep Learning Overview: Introduction to Recurrent Neural Networks (CNN)
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Hands-on Machine Learning Project Using Scikit-Learn: Principal Component Analysis (PCA) with Python
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Hands-on Machine Learning Project Using Scikit-Learn: Pipeline in Scikit-Learn for Machine Learning Project
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Hands-on Machine Learning Project Using Scikit-Learn: Cross-validation with Python
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Hands-on Machine Learning Project Using Scikit-Learn: Face Recognition Project with Python
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OPTIONAL Section- Mathematics Wrap-up: Mathematical Wrap-up on Machine Learning
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6
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Introduction: Focus of the Course
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Features in Data Science: Introduction to Feature in Data Science
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Features in Data Science: Marking Facial Features
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Features in Data Science: Feature Space
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Features in Data Science: Features Dimensions
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Features in Data Science: Features Dimensions Activity
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Features in Data Science: Why Dimensionality Reduction
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Features in Data Science: Activity-Dimensionality Reduction
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Features in Data Science: Feature Dimensionality Reduction Methods
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Feature Selection: Why Feature Selection
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Feature Selection: Feature Selection Methods
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Feature Selection: Filter Methods
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Feature Selection: Wrapper Methods
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Feature Selection: Embedded Methods
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Feature Selection: Search Strategy
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Feature Selection: Search Strategy Activity
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Feature Selection: Statistical Based Methods
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Feature Selection: Information Theoratic Methods
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Feature Selection: Similarity Based Methods Introduction
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Feature Selection: Similarity Based Methods Criteria
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Feature Selection: Activity- Feature Selection in Python
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Feature Selection: Activity- Feature Selection
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Mathematical Foundation: Introduction to Mathematical Foundation of Feature Selection
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Mathematical Foundation: Closure Of A Set
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Mathematical Foundation: Linear Combinations
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Mathematical Foundation: Linear Independence
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Mathematical Foundation: Vector Space
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Mathematical Foundation: Basis and Dimensions
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Mathematical Foundation: Coordinates vs Dimensions
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Mathematical Foundation: SubSpace
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Mathematical Foundation: Orthonormal Basis
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Mathematical Foundation: Matrix Product
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Mathematical Foundation: Least Squares
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Mathematical Foundation: Rank
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Mathematical Foundation: Eigen Space
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Mathematical Foundation: Positive Semi Definite Matrix
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Mathematical Foundation: Singular Value Decomposition SVD
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Mathematical Foundation: Lagrange Multipliers
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Mathematical Foundation: Vector Derivatives
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Mathematical Foundation: Linear Algebra Module Python
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Mathematical Foundation: Activity-Linear Algebra Module Python
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Feature Extraction: Feature Extraction Introduction
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Feature Extraction: PCA Introduction
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Feature Extraction: PCA Criteria
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Feature Extraction: PCA Properties
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Feature Extraction: PCA Max Variance Formulation
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Feature Extraction: PCA Derivation
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Feature Extraction: PCA Implementation
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Feature Extraction: PCA For Small Sample Size Problems(DualPCA)
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Feature Extraction: PCA vs SVD
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Feature Extraction: Kernel PCA
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Feature Extraction: Kernel PCA vs ISOMAP
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Feature Extraction: Kernel PCA vs The Rest
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Feature Extraction: Encoder Decoder Networks For Dimensionality Reduction vs kernel PCA
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Feature Extraction: Supervised PCA and Fishers Linear Discriminant Analysis
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Feature Extraction: Supervised PCA and Fishers Linear Discriminant Analysis Activity
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Feature Extraction: Dimensionality Reduction Pipelines Python Project
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Feature Engineering: Categorical Features
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Feature Engineering: Categorical Features Python
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Feature Engineering: Text Features
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Feature Engineering: Image Features
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Feature Engineering: Derived Features
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Feature Engineering: Derived Features Histogram Of Gradients Local Binary Patterns
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Feature Engineering: Feature Scaling
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Feature Engineering: Activity-Feature Scaling
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7
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Introduction to the Course: Why Deep learning Networks (DNN)
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Introduction to Machine Learning: Introduction To Machine Learning
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Introduction to Machine Learning: Classification
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Introduction to Machine Learning: Classification Exercise
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Introduction to Machine Learning: Classification Solution
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Introduction to Machine Learning: Classification Training Process And Prediction Probablities
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Introduction to Machine Learning: Classification Prediction Probablities Exercise
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Introduction to Machine Learning: Classification Prediction Probablities Exercise Solution
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Introduction to Machine Learning: Regression
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Introduction to Machine Learning: Regression Exercise
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Introduction to Machine Learning: Regression Exercise Solution
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Introduction to Machine Learning: Supervised Learning
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Introduction to Machine Learning: UnSupervised Learning
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Introduction to Machine Learning: Reinforcement Learning
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Introduction to Machine Learning: Machine Learning Model
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Introduction to Machine Learning: Machine Learning Model Example
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Introduction to Machine Learning: Machine Learning Model Exercise
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Introduction to Machine Learning: Machine Learning Model Exercise Solution
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Introduction to Machine Learning: Machine Learning Model Types
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Introduction to Machine Learning: Machine Learning Model Linearity
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Introduction to Machine Learning: Machine Learning Model Linearity Exercise
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Introduction to Machine Learning: Machine Learning Model Linearity Exercise Solution
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Introduction to Machine Learning: Machine Learning Model Multi Target Models
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Introduction to Machine Learning: Machine Learning Model Multi Target Models Exercise
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Introduction to Machine Learning: Machine Learning Model Multi Target Models Exercise Solution
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Introduction to Machine Learning: Machine Learning Model Training Exercise
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Introduction to Machine Learning: Machine Learning Model Training Exercise Solution
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Introduction to Machine Learning: Machine Learning Model Training Loss
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Introduction to Machine Learning: Machine Learning Model Hyperparameters Exercise
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Introduction to Machine Learning: Machine Learning Model Hyperparameters Exercise Solution
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Introduction to Machine Learning: Machine Learning Occam's Razor
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Introduction to Machine Learning: Machine Learning Overfitting
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Introduction to Machine Learning: Machine Learning Overfitting Exercise
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Introduction to Machine Learning: Machine Learning Overfitting Exercise Solution Regularization
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Introduction to Machine Learning: Machine Learning Overfitting Generalization
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Introduction to Machine Learning: Machine Learning Data Snooping
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Introduction to Machine Learning: Machine Learning Cross Validation
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Introduction to Machine Learning: Machine Learning Hypterparameter Tunning Exercise
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Introduction to Machine Learning: Machine Learning Hypterparameter Tunning Exercise Solution
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DNN and Deep Learning Basics: Why PyTorch
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DNN and Deep Learning Basics: PyTorch Installation and Tensors Introduction
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DNN and Deep Learning Basics: Automatic Diffrenciation Pytorch New
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DNN and Deep Learning Basics: Why DNNs in Machine Learning
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DNN and Deep Learning Basics: Representational Power and Data Utilization Capacity of DNN
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DNN and Deep Learning Basics: Perceptron
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DNN and Deep Learning Basics: Perceptron Exercise
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DNN and Deep Learning Basics: Perceptron Exercise Solution
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DNN and Deep Learning Basics: Perceptron Implementation
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DNN and Deep Learning Basics: DNN Architecture
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DNN and Deep Learning Basics: DNN Architecture Exercise
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DNN and Deep Learning Basics: DNN Architecture Exercise Solution
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DNN and Deep Learning Basics: DNN ForwardStep Implementation
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DNN and Deep Learning Basics: DNN Why Activation Function Is Required
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DNN and Deep Learning Basics: DNN Why Activation Function Is Required Exercise
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DNN and Deep Learning Basics: DNN Why Activation Function Is Required Exercise Solution
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DNN and Deep Learning Basics: DNN Properties Of Activation Function
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DNN and Deep Learning Basics: DNN Activation Functions In Pytorch
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DNN and Deep Learning Basics: DNN What Is Loss Function
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DNN and Deep Learning Basics: DNN What Is Loss Function Exercise
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DNN and Deep Learning Basics: DNN What Is Loss Function Exercise Solution
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DNN and Deep Learning Basics: DNN What Is Loss Function Exercise 02
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DNN and Deep Learning Basics: DNN What Is Loss Function Exercise 02 Solution
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DNN and Deep Learning Basics: DNN Loss Function In Pytorch
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DNN and Deep Learning Basics: DNN Gradient Descent
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DNN and Deep Learning Basics: DNN Gradient Descent Exercise
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DNN and Deep Learning Basics: DNN Gradient Descent Exercise Solution
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DNN and Deep Learning Basics: DNN Gradient Descent Implementation
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DNN and Deep Learning Basics: DNN Gradient Descent Stochastic Batch Minibatch
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DNN and Deep Learning Basics: DNN Gradient Descent Summary
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DNN and Deep Learning Basics: DNN Implemenation Gradient Step
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DNN and Deep Learning Basics: DNN Implemenation Stochastic Gradient Descent
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DNN and Deep Learning Basics: DNN Implemenation Batch Gradient Descent
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DNN and Deep Learning Basics: DNN Implemenation Minibatch Gradient Descent
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DNN and Deep Learning Basics: DNN Implemenation In PyTorch
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DNN and Deep Learning Basics: DNN Weights Initializations
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DNN and Deep Learning Basics: DNN Learning Rate
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DNN and Deep Learning Basics: DNN Batch Normalization
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DNN and Deep Learning Basics: DNN batch Normalization Implementation
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DNN and Deep Learning Basics: DNN Optimizations
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DNN and Deep Learning Basics: DNN Dropout
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DNN and Deep Learning Basics: DNN Dropout In PyTorch
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DNN and Deep Learning Basics: DNN Early Stopping
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DNN and Deep Learning Basics: DNN Hyperparameters
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DNN and Deep Learning Basics: DNN Pytorch CIFAR10 Example
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Python for Data Science: NumPy Pandas and Matplotlib (Part 2)
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Python for Data Science: NumPy Pandas and Matplotlib (Part 1)
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Python for Data Science: NumPy Pandas and Matplotlib (Part 3)
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Python for Data Science: NumPy Pandas and Matplotlib (Part 4)
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Python for Data Science: NumPy Pandas and Matplotlib (Part 5)
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Python for Data Science: NumPy Pandas and Matplotlib (Part 6)
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Python for Data Science: DataSet Preprocessing
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Python for Data Science: TensorFlow for classification
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Implementation of DNN for COVID 19 Analysis: COVID19 Data Analysis
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Implementation of DNN for COVID 19 Analysis: COVID19 Regression with TensorFlow
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8
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Introduction: Why CNN
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Introduction: Focus of the Course
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Image Processing: Gray Scale Images
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Image Processing: RGB Images
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Image Processing: Reading and Showing Images in Python
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Image Processing: Converting an Image to Grayscale in Python
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Image Processing: Image Formation
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Image Processing: Image Blurring 1
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Image Processing: Image Blurring 2
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Image Processing: General Image Filtering
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Image Processing: Convolution
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Image Processing: Edge Detection
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Image Processing: Image Sharpening
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Image Processing: Implementation of Image Blurring Edge Detection Image Sharpening in Python
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Image Processing: Parameteric Shape Detection
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Image Processing: Image Processing Activity
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Object Detection: Introduction to Object Detection
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Object Detection: Classification PipleLine
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Object Detection: Sliding Window Implementation
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Object Detection: Shift Scale Rotation Invariance
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Object Detection: Person Detection
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Object Detection: HOG Features
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Object Detection: Hand Engineering vs CNNs
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Object Detection: Object Detection Activity
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Deep Neural Network Architecture: Convolution Revisited
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Deep Neural Network Architecture: Implementing Convolution in Python Revisited
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Deep Neural Network Architecture: Why Convolution
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Deep Neural Network Architecture: Filters Padding Strides
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Deep Neural Network Architecture: Pooling Tensors
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Deep Neural Network Architecture: CNN Example
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Deep Neural Network Architecture: Convolution and Pooling Details
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Deep Neural Network Architecture: NonVectorized Implementations of Conv2d and Pool2d
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Deep Neural Network Architecture: Deep Neural Network Architecture Activity
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Gradient Descent in CNNs: Example Setup
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Gradient Descent in CNNs: Why Derivaties
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Gradient Descent in CNNs: What is Chain Rule
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Gradient Descent in CNNs: Applying Chain Rule
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Gradient Descent in CNNs: Gradients of Convolutional Layer
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Gradient Descent in CNNs: Extending To Multiple Filters
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Gradient Descent in CNNs: Gradients of MaxPooling Layer
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Gradient Descent in CNNs: Extending to Multiple Layers
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Gradient Descent in CNNs: Implementation in Numpy ForwardPass.mp4.
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Gradient Descent in CNNs: Implementation in Numpy BackwardPass 1
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Gradient Descent in CNNs: Implementation in Numpy BackwardPass 2
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Gradient Descent in CNNs: Implementation in Numpy BackwardPass 3
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Gradient Descent in CNNs: Implementation in Numpy BackwardPass 4
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Gradient Descent in CNNs: Implementation in Numpy BackwardPass 5
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Gradient Descent in CNNs: Gradient Descent in CNNs Activity
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Introduction to TensorFlow: Introduction
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Introduction to TensorFlow: FashionMNIST Example Plan Neural Network
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Introduction to TensorFlow: FashionMNIST Example CNN
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Introduction to TensorFlow: Introduction to TensorFlow Activity
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Classical CNNs: LeNet
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Classical CNNs: AlexNet
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Classical CNNs: VGG
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Classical CNNs: InceptionNet
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Classical CNNs: GoogLeNet
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Classical CNNs: Resnet
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Classical CNNs: Classical CNNs Activity
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Transfer Learning: What is Transfer learning
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Transfer Learning: Why Transfer Learning
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Transfer Learning: ImageNet Challenge
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Transfer Learning: Practical Tips
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Transfer Learning: Project in TensorFlow
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Transfer Learning: Transfer Learning Activity
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Yolo: Image Classfication Revisited
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Yolo: Sliding Window Object Localization
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Yolo: Sliding Window Efficient Implementation
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Yolo: Yolo Introduction
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Yolo: Yolo Training Data Generation
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Yolo: Yolo Anchor Boxes
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Yolo: Yolo Algorithm
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Yolo: Yolo Non Maxima Supression
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Yolo: RCNN
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Yolo: Yolo Activity
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Face Verification: Problem Setup
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Face Verification: Project Implementation
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Face Verification: Face Verification Activity
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Neural Style Transfer: Problem Setup
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Neural Style Transfer: Implementation Tensorflow Hub
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9
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Introduction to Course: Focus of the Course
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Applications of RNN (Motivation): Human Activity Recognition
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Applications of RNN (Motivation): Image Captioning
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Applications of RNN (Motivation): Machine Translation
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Applications of RNN (Motivation): Speech Recognition
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Applications of RNN (Motivation): Stock Price Predictions
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Applications of RNN (Motivation): When to Model RNN
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Applications of RNN (Motivation): Activity
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RNN Architecture: Introduction to Module
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RNN Architecture: Fixed Length Memory Model
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RNN Architecture: Fixed Length Memory Model Exercise
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RNN Architecture: Fixed Length Memory Model Exercise Solution Part 01
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RNN Architecture: Fixed Length Memory Model Exercise Solution Part 02
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RNN Architecture: Infinite Memory Architecture
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RNN Architecture: Infinite Memory Architecture Exercise
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RNN Architecture: Infinite Memory Architecture Solution
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RNN Architecture: Weight Sharing
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RNN Architecture: Notations
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RNN Architecture: ManyToMany Model
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RNN Architecture: ManyToMany Model Exercise 01
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RNN Architecture: ManyToMany Model Solution 01
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RNN Architecture: ManyToMany Model Exercise 02
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RNN Architecture: ManyToMany Model Solution 02
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RNN Architecture: ManyToONE Model
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RNN Architecture: ManyToOne Model Exercise
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RNN Architecture: ManyToOne Model Solution
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RNN Architecture: OneToMany Model
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RNN Architecture: OneToMany Model Exercise
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RNN Architecture: OneToMany Model Solution
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RNN Architecture: Activity Many to One
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RNN Architecture: Activity Many to One Exercise
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RNN Architecture: Activity Many to One Solution
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RNN Architecture: ManyToMany Different Sizes Model
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RNN Architecture: Activity Many to Many Nmt
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RNN Architecture: Models Summary
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RNN Architecture: Deep RNNs
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RNN Architecture: Deep RNNs Exercise
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RNN Architecture: Deep RNNs Solution
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Gradient Decsent in RNN: Introduction to Gradient Descent Module
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Gradient Decsent in RNN: Example Setup
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Gradient Decsent in RNN: Equations
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Gradient Decsent in RNN: Equations Exercise
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Gradient Decsent in RNN: Equations Solution
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Gradient Decsent in RNN: Loss Function
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Gradient Decsent in RNN: Why Gradients
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Gradient Decsent in RNN: Why Gradients Exercise
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Gradient Decsent in RNN: Why Gradients Solution
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Gradient Decsent in RNN: Chain Rule
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Gradient Decsent in RNN: Chain Rule in Action
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Gradient Decsent in RNN: BackPropagation Through Time
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Gradient Decsent in RNN: Activity
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RNN Implementation: Automatic Diffrenciation
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RNN Implementation: Automatic Diffrenciation Pytorch
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RNN Implementation: Language Modeling Next Word Prediction Vocabulary Index
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RNN Implementation: Language Modeling Next Word Prediction Vocabulary Index Embeddings
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RNN Implementation: Language Modeling Next Word Prediction RNN Architecture
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RNN Implementation: Language Modeling Next Word Prediction Python 1
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RNN Implementation: Language Modeling Next Word Prediction Python 2
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RNN Implementation: Language Modeling Next Word Prediction Python 3
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RNN Implementation: Language Modeling Next Word Prediction Python 4
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RNN Implementation: Language Modeling Next Word Prediction Python 5
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RNN Implementation: Language Modeling Next Word Prediction Python 6
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Sentiment Classification using RNN:Vocabulary Implementation
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Sentiment Classification using RNN:Vocabulary Implementation Helpers
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Sentiment Classification using RNN:Vocabulary Implementation From File
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Sentiment Classification using RNN:Vectorizer
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Sentiment Classification using RNN:RNN Setup 1
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Sentiment Classification using RNN:RNN Setup 2
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Sentiment Classification using RNN:WhatNext
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Vanishing Gradients in RNN: Introduction to Better RNNs Module
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Vanishing Gradients in RNN: Introduction Vanishing Gradients in RNN
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Vanishing Gradients in RNN: GRU
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Vanishing Gradients in RNN: GRU Optional
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Vanishing Gradients in RNN: LSTM
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Vanishing Gradients in RNN: LSTM Optional
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Vanishing Gradients in RNN: Bidirectional RNN
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Vanishing Gradients in RNN: Attention Model
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Vanishing Gradients in RNN: Attention Model Optional
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TensorFlow: Introduction to TensorFlow
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TensorFlow: TensorFlow Text Classification Example using RNN
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Project I_ Book Writer: Introduction
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Project I_ Book Writer: Data Mapping
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Project I_ Book Writer: Modling RNN Architecture
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Project I_ Book Writer: Modling RNN Model in TensorFlow
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Project I_ Book Writer: Modling RNN Model Training
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Project I_ Book Writer: Modling RNN Model Text Generation
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Project I_ Book Writer: Activity
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Project II_ Stock Price Prediction: Problem Statement
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Project II_ Stock Price Prediction: Data Set
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Project II_ Stock Price Prediction: Data Prepration
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Project II_ Stock Price Prediction: RNN Model Training and Evaluation
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Project II_ Stock Price Prediction: Activity
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Further Readings and Resourses: Further Readings and Resourses 1
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