- Lab 01: Introduction to Python Packages - Numpy, Pandas, Matplotlib, and Access to Data Sources
- Lab 02: Implement AI Search using Breadth First, Depth First and A* Search Algorithm using Python
- Lab 03: Implement AI Game Strategy using MiniMax and Alpha-Beta Search Algorithms
- Lab 04: Implement Linear Regression using Boston Housing Data
- Lab 05: Implement Logistic Regression using Titanic Ship Data
- Lab 06: Implement K-Nearest Neighbor Classification using Classified Manufacturing Dataset
- Lab 07: Implement Support Vector Machine using Breast Cancer Data
- Lab 08: Implement Decision Tree Classifier using Lending Club Data
- Lab 09: Implement Random Forest Ensemble Classifier using Lending Club Data
- Lab 10: Implement K-Means Clustering using Iris Data