AI Sciences

Introduction to the Course

Introduction To Instructor

Why Machine Learning

Why Support Vector Machine

Course Overview

Introduction to Machine Learning, Learning Process and Supervised Learning

UnSupervised Learning and Reinforcement Learning

History and Future of Machine Learning

Dataset, Label and Features

Training Data,Testing Data and Outliers

Model

Model (Difference between Classification and Regression)

Model (Function,Parameters,Hyperparameters)

Training a model,Cost,Error,Loss,Risk,Accuracy

Optimization

Overfitting,Underfitting,Just RightOptimum (Part 1)

Overfitting,Underfitting,Just RightOptimum (Part 2)

Validation and Cross Validation,Generalization,Data Snooping,Validation Set

Probability Distributions and Curse of Dimensionlity

Small Sample Size problems,One Shot Learning

Importance of Data in Machine Learning,Data Encoding and Preprocessing

General Flow of a typical Machine Learning Project

Introduction to Python

Introduction to IDE,Hello World

Introduction to Data Type, Numbers

Variable and Operators (Numbers)

Variables and Operators (Rational Operators and Functions)

Variables and Operators (String)

Variables and Operators (String and print Statement)

Lists(Indexing,Slicing-Built in Lists Functions)

Lists(Copying a List)

Tuples(Indexing,Slicing,Built in Tuple Functions)

Set(initialize,Built in Set Functions)

Dictionary

Logical Operator,Decision Making,For Loops,While Loops,Functions

Logical Operator,Decision Making,For Loops,While Loops,List Comprehension

Functions

Calculator Project

Introduction SVM

Linear Discriminants

Linear Discriminants higher spaces

Linear Discriminants Decision Boundary

Generalized Linear Model

Feature Transformation

Max Margin Linear Discriminant

Hard Margin Vs Soft Margin

Confidence

Multiclass Extension

SVM Vs Logistic Regression Sparsity

SVM Optimization

SVM Langrangian Dual

Kernels

Python Packages & Titanic DataSet

Using Numpy, Pandas and Matplotlib (Part 1)

Using Numpy, Pandas and Matplotlib (Part 2)

Using Numpy, Pandas and Matplotlib (Part 3)

Using Numpy, Pandas and Matplotlib (Part 4)

Using Numpy, Pandas and Matplotlib (Part 5)

Using Numpy, Pandas and Matplotlib (Part 6)

DataSet Preprocessing

SVM with Sklearn

SVM without Sklearn (Part 1)

SVM without Sklearn (Part 2)

Optional SVM Optimization (Part 1)

Optional SVM Optimization (Part 2)

Optional SVM Optimization (Part 3)

Optional SVM Optimization (Part 4)

Optional SVM Optimization (Part 5)

Optional SVM Optimization (Part 6)