AI_LAB

Juniors or any other student alike: Try to implement the assignments yourself because some of the codes might be highly customized to the problems statements. I was also like you when implementing them, so, I did not care about making them reproducible, portable or generic. Also, a piece of advice, implementing them on your own will give you a huge satisfaction and deeper understanding. PEACE ! ;)

CS235 and CS360 : AI and ML Lab Assignments

Datasets used : Wine, Iris, Insurance, Boston, Breast Cancer, UCI Heart Disease.

Scratch implementaion of (Using numpy) of :

1. A Star Algorithm
2. 8 Queens Problem
3. MinMax Alpha-Beta Pruning
4. Genetic Algorithm
5. Linear Regression with Least Squares
6. Linear Regression with Gradient Descent
7. K-Nearest Neighbours on Breast Cancer Dataset
8. K-Means Clustering
9. Single Layer Pereceptron
10. Multi-Layer Perceptron
11. Self Organizing Feature Maps