1. Santander Customer Satisfaction: Classification problem to find happy customers. Python project which classifies which customer has a positive or negative feedback for Santander Bank. Data set used is Santander Customer satifaction dataset. Its published as a Kaggle challenge. More about it can be found at: https://www.kaggle.com/c/santander-customer-satisfaction
2. Tweet Classification: Python project which classifies tweets expressing positive, negative or neutral opinions about presidential candidates (Obama and Romney) competing for 2012 US presidential elections.
3. Heart_Disease_Bayesian_Network_Netica is a project based on decision networks using Netica.
4. Artifitial Intelligence Algorithms solving the Tic Tac Toe and 15 puzzle games. This includes the solving 15 puzzle using A-Star algorithm, Breadth First Search and Iterative Deepening Depth First Search algorithms. Min-max algorithm and min -max with alpha-beta pruning solves the Tic Tac Toe game.

Each project has a readme file which explains the project in details.