Python & Machine Learning Mastery for Data Science Warriors
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1
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Introduction: About the Tutor and AI Sciences
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Introduction: Introduction To Instructor
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Introduction: Focus of the Course-Part 1
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Introduction: 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-Searching Minimun Quiz
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Basics of Programming: Example of Algorithms-Searching Minimun Solution
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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 AnaconDA
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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- Round Quiz
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Python Useful function: Python Function- Round Solution
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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: if Elif Else Python Conditions Quiz
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Control Flow in Python: if Elif Else Python Conditions Solution
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Control Flow in Python: More on if Elif Else Python Conditions
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Control Flow in Python: More on if Elif Else Python Conditions Quiz
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Control Flow in Python: More on if Elif Else Python Conditions Solution
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Control Flow in Python: Indentations
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Control Flow in Python: Indentations Quiz
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Control Flow in Python: Indentations Solution
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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: While Loop break Continue Quiz
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Control Flow in Python: While Loop break Continue Solution
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Control Flow in Python: For Loop
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Control Flow in Python: For Loop Quiz
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Control Flow in Python: For Loop Solution
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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: Multiple Input Arguments Quiz
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Function and Module in Python: Multiple Input Arguments Solution
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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 Quiz
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Function and Module in Python: Variable Number of Input Arguments Solution
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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: Variable Number of Input Arguments as Dictionary Quiz
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Function and Module in Python: Variable Number of Input Arguments as Dictionary Solution
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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: Indexing Strings Quiz
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String in Python: Indexing Strings Solution
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String in Python: String Methods
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String in Python: String Methods Quiz
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String in Python: String Methods Solution
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String in Python: String Escape Sequences
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String in Python: String Escape Sequences Quiz
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String in Python: String Escape Sequences Solution
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Data Structure: Introduction to Data Structure
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Data Structure: Defining and Indexing
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Data Structure: Insertion and Deletion
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Data Structure: Insertion and Deletion Quiz
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Data Structure: Insertion and Deletion Solution
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Data Structure: Python Practice-Insertion and Deletion
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Data Structure: Python Practice-Insertion and Deletion Quiz
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Data Structure: Python Practice-Insertion and Deletion Solution
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Data Structure: Deep Copy or Reference Slicing
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Data Structure: Deep Copy or Reference Slicing Quiz
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Data Structure: Deep Copy or Reference Slicing Solution
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Data Structure: Exploring Methods Using TAB Completion
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Data Structure: Data Structure Abstract Ways
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Data Structure: Data Structure Practice
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Data Structure: Data Structure Practice Quiz
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Data Structure: Data Structure Practice Solution
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3
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Introduction to the Course: Introduction to the Course
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Introduction to the Course: Introduction To Instructor
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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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4
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Support Vector Machine: Introduction SVM
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Support Vector Machine: Linear Discriminants
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Support Vector Machine: Linear Discriminants higher spaces
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Support Vector Machine: Linear Discriminants Decision Boundary
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Support Vector Machine: Generalized Linear Model
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Support Vector Machine: Feature Transformation
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Support Vector Machine: Max Margin Linear Discriminant
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Support Vector Machine: Hard Margin Vs Soft Margin
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Support Vector Machine: Confidence
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Support Vector Machine: Multiclass Extension
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Support Vector Machine: SVM Vs Logistic Regression Sparsity
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Support Vector Machine: SVM Optimization
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Support Vector Machine: SVM Langrangian Dual
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Support Vector Machine: Kernels
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Support Vector Machine: Python Packages & Titanic DataSet
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Support Vector Machine: Using Numpy, Pandas and Matplotlib (Part 1)
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Support Vector Machine: Using Numpy, Pandas and Matplotlib (Part 2)
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Support Vector Machine: Using Numpy, Pandas and Matplotlib (Part 3)
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Support Vector Machine: Using Numpy, Pandas and Matplotlib (Part 4)
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Support Vector Machine: Using Numpy, Pandas and Matplotlib (Part 5)
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Support Vector Machine: Using Numpy, Pandas and Matplotlib (Part 6)
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Support Vector Machine: DataSet Preprocessing
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Support Vector Machine: SVM with Sklearn
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Support Vector Machine: SVM without Sklearn (Part 1)
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Support Vector Machine: SVM without Sklearn (Part 2)
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Optional SVM Section: Optional SVM Optimization (Part 1)
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Optional SVM Section: Optional SVM Optimization (Part 2)
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Optional SVM Section: Optional SVM Optimization (Part 3)
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Optional SVM Section: Optional SVM Optimization (Part 4)
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Optional SVM Section: Optional SVM Optimization (Part 5)
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Optional SVM Section: Optional SVM Optimization (Part 6)
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5
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Random Forest Step-by-step: Introduction and Motivation
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Random Forest Step-by-step: How Decision Trees and Random Forest Work
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Random Forest Step-by-step: Pros and Cons of Random Forest
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Random Forest Step-by-step: Introduction to the final Project
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Random Forest Step-by-step: Using NumPy for Random Forest
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Random Forest Step-by-step: Using Pandas for Random Forest (1)
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Random Forest Step-by-step: Using Pandas for Random Forest (2)
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Random Forest Step-by-step: Reading and Manipulating Dataset
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Random Forest Step-by-step: Using Matplotlib for Data Visualization (1)
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Random Forest Step-by-step: Using Matplotlib for Data Visualization (2)
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Random Forest Step-by-step: Dealing with Missing Values
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Random Forest Step-by-step: Outliers Removal
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Random Forest Step-by-step: Categorical to Numeric Conversion
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Random Forest Step-by-step: Quick Implementation of Random Forest Model
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Random Forest Step-by-step: Feature Importance
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Random Forest Step-by-step: Recursion
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Random Forest Step-by-step: Structure
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Random Forest Step-by-step: Importing Data, Helper Functions
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Random Forest Step-by-step: Question and Partition
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Random Forest Step-by-step: Impurity
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Random Forest Step-by-step: Information Gain
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Random Forest Step-by-step: Best Slip
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Random Forest Step-by-step: Leaf and Decision Node
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Random Forest Step-by-step: How to Build Tree
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Random Forest Step-by-step: Classify
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Random Forest Step-by-step: Accuracy and Error
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6
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Logistic Regression Step-by-Step: Introduction to Logistic Regression and Motivation
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Logistic Regression Step-by-Step: Pros and Cons
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Logistic Regression Step-by-Step: Introduction to the final Project
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Logistic Regression Step-by-Step: Numpy
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Logistic Regression Step-by-Step: Pandas (1)
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Logistic Regression Step-by-Step: Pandas (2)
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Logistic Regression Step-by-Step: Reading and Manipulating Dataset
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Logistic Regression Step-by-Step: Matplotlib (1)
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Logistic Regression Step-by-Step: Matplotlib (2)
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Logistic Regression Step-by-Step: Dealing with Missing Values
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Logistic Regression Step-by-Step: Outliers Removal
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Logistic Regression Step-by-Step: Categorical to Numeric
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Logistic Regression Step-by-Step: ScikitLearn - Quick Implementation of Logistic Regression
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Logistic Regression Step-by-Step: Sigmoid Function
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Logistic Regression Step-by-Step: Decision Boundary
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Logistic Regression Step-by-Step: Cost Function
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Logistic Regression Step-by-Step: Gradient Decent
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Logistic Regression Step-by-Step: Logistic Regression from Scratch (1)
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Logistic Regression Step-by-Step: Logistic Regression from Scratch (2)
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Logistic Regression Step-by-Step: Logistic Regression from Scratch (3)
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Logistic Regression Step-by-Step: Logistic Regression from Scratch (4)
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Logistic Regression Step-by-Step: Logistic Regression from Scratch (5)
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Logistic Regression Step-by-Step: Logistic Regression from Scratch (6)
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Logistic Regression Step-by-Step: Binary to Multiclass
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7
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Introduction: Introduction To Instructor
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Introduction: Introduction to Course
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House Price Prediction: Module Introduction
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House Price Prediction: Installing-Importing Libraries
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House Price Prediction: Importing & Visualizing Dataset
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House Price Prediction: Dataset
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House Price Prediction: Feature Label Split
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House Price Prediction: Train Test Split
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House Price Prediction: ML Model
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House Price Prediction: Liner Regression
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House Price Prediction: Model Evaluation
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House Price Prediction: Making Predictions
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House Price Prediction: Quiz
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Email Filtration: Module Introduction
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Email Filtration: Data Import Split
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Email Filtration: Removing Stopwords
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Email Filtration: Making Word Cloud
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Email Filtration: Count Vectorizer Explained
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Email Filtration: Vectorizing Text Feature
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Email Filtration: Model Implementation & Evaluation
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Email Filtration: NB Details and Types
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Email Filtration: Making Predictions
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Email Filtration: Quiz
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Car Price Predication: Module Introduction
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Car Price Predication: Getting Started with Colab
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Car Price Predication: Loading Data in Colab
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Car Price Predication: Data Visualization
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Car Price Predication: One Hot Encoding
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Car Price Predication: Data Standardization
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Car Price Predication: Deep Learning Explained
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Car Price Predication: Model Architecture
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Car Price Predication: Model Training
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Car Price Predication: Model Evaluation
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Car Price Predication: Making Predictions
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Car Price Predication: Quiz
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Customer Segmentation Kmean: Module Introduction
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Customer Segmentation Kmean: Imports and Data Intro
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Customer Segmentation Kmean: Data Visualization & Analysis
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Customer Segmentation Kmean: K Means
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Customer Segmentation Kmean: Model Implementation
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Customer Segmentation Kmean: Ploting the Centroids
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Customer Segmentation Kmean: Finding the Optimal Value
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Customer Segmentation Kmean: Cluster Map
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Customer Segmentation Kmean: Quiz
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Employee Retention Classification for HR: Module Introduction
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Employee Retention Classification for HR: Libraries & Dataset
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Employee Retention Classification for HR: Data Analysis
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Employee Retention Classification for HR: Model Training & Evaluation
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Employee Retention Classification for HR: Heatmap of Predictions
