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