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Projects in Machine Learning : Beginner To Professional
An Introduction to Machine Learning
Introduction
What is Machine Learning
Types and Applications of ML
AI vs ML
Essential Math for ML and AI
Supervised Learning - part 1
Introduction to Supervised Learning
Linear Methods for Classification
Linear Methods for Regression
Support Vector Machines
Basis Expansions
Model Selection Procedures
Bonus! Supervised Learning Project in Python Part 1
Bonus! Supervised Learning Project in Python Part 2
Unsupervised Learning
Introduction to Unsupervised Learning
Association Rules
Cluster Analysis
Reinforcement Learning
Bonus! KMeans Clustering Project
Neural Networks
Introduction to Neural Networks
The Perceptron
The Backpropagation Algorithm
Training Procedures
Convolutional Neural Networks
Real World Machine Learning
Introduction to Real World ML
Choosing an Algorithm
Design and Analysis of ML Experiments
Common Software for ML
Final Project
Setting up OpenAI Gym
Building and Training the Network Part 1
Building and Training the Network Part 2
Project 1 Board Game Review Prediction
Intro
Board Game Review Prediction - Building the Dataset Part 1
Board Game Review Prediction - Building the Dataset Part 2
Board Game Review Prediction - Training the Models
Project 2 Credit Card Fraud Detection
Intro
Credit Card Fraud Detection - The Dataset
Credit Card Fraud Detection - The Algorithms
Project 3 Stock Market Clustering
Intro
Stock Market Clustering - Building the Dataset Part 1
Stock Market Clustering - Building the Dataset Part 2
Stock Market Clustering - KMeans and PCA Part 1
Stock Market Clustering - KMeans and PCA Part 2
Project 4 Intro to Natural Language Processing
Intro
Tokenizing, Stop Words, and Stemming
Tagging, Chunking, and Named Entity Recognition
Text Classification
Project 5 Object Recognition
Intro
Loading and Preprocessing the CIFAR10 Dataset
Building and Deploying the All-CNN Network Part 1
Building and Deploying the All-CNN Network Part 2
Project 6 Image Super Resolution
Intro
Quality Metrics and Preprocessing Images
Image Super Resolution using Deep Learning
Project 7 Text Classification
Intro
Feature Engineering
Deploying Sklearn Classifiers
Project 8 - KMeans
Intro
Preprocessing Images for Clustering
Evaluation and Visualization
Project 9 PCA
Intro
The Elbow Method
PCA Compression and Visualization
The Perceptron
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