This repository contains all the labs that we did in our AI and DSS course. These labs initially started with search algorithms such as BFS, DFS, UFC, A* and GBFS. Later we move on to basic classifiers such as KNN, Bayes, Naive Bayes, Single and finally Multilayer Perceptrons.
To run any of the code, go to the directory and then run the program python3 {program_name}
The classifier may require additional libraries, which include numpy, scipy, matplotlib, sklearn, pandas.