About this course
- Module 1 - Machine Learning
- Intro to Machine Learning
- Python for Machine Learning
- Supervised vs Unsupervised
- Module 2 - Regression
- Intro to Regression
- Simple Linear Regression
- Lab: Simple Linear Regression
- Multiple Linear Regression
- Lab: Multiple Linear Regression
- Model Evaluation
- Evaluation Metrics
- Non-Linear Regression
- Lab: Non-Linear Regression
- Module 3 - Classification
- Intro to Classification
- K-Nearest Neighbors
- Evaluation Metrics
- Lab: KNN
- Intro to Decision Trees
- Building Decision Trees
- Lab: Decision Trees
- Intro to Logistic Regression
- Logistic vs Linear Regression
- Lab: Logistic Regression
- Support Vector Machine
- Lab: Support Vector Machines
- Module 4 - Clustering
- Intro to Clustering
- K-Means Clustering
- More on K-Means
- Lab: K-Means
- Hierarchical Clustering
- More on Hierarchical Clustering
- Lab: Hierarchical Clustering
- DBSCAN Clustering
- Lab: DBSCAN Clustering
- Module 5 - Recommender Systems
- Recommender Systems
- Content-based
- Lab: Content-based
- Collaborative Filtering
- Lab: Collaborative Filtering