MACHINE LEARNING USING PYTHON

• Machine Learning Languages, Types, and Examples

• Machine Learning vs Statistical Modelling

• Supervised vs Unsupervised Learning

• Supervised Learning Classification

• Unsupervised Learning

Module 2 - Supervised Learning I

• K-Nearest Neighbors

• Decision Trees

• Random Forests

• Reliability of Random Forests

• Advantages & Disadvantages of Decision Trees

• Regression Algorithms

• Model Evaluation

• Model Evaluation: Overfitting & Underfitting

• Understanding Different Evaluation Models

• K-Means Clustering plus Advantages & Disadvantages

• Hierarchical Clustering plus Advantages & Disadvantages

• Measuring the Distances Between Clusters - Single Linkage Clustering

• Measuring the Distances Between Clusters - Algorithms for Hierarchy Clustering

• Density-Based Clustering

Module 5 - Dimensionality Reduction & Collaborative Filtering

• Dimensionality Reduction: Feature Extraction & Selection

• Collaborative Filtering & Its Challenges