AI Projects

These are my projects for Artificial Intelligence Course in Spring of 2019 semester.
We had seven mandatory projects and one optional project.

• Assignment 0 mostly practiced with jupyter, python & its essential libraries such as pandas, numpy and matplotlib. I implemented a taxi price prediction with regression manually.
• Assignment 1 was about searching for a solution for 8 Queen problem. Implementing uninformed search such as BFS and IDS, and A* as informed search.
• Assignment 2 was Breakthrough Game. I implemented minmax and alpha-beta pruning algorithms in it.
• Assignment 3 was predicting spam/ham emails using naive bayes.
• Assignment 4 was an introduction with ml using sklearn library for image recognization and classification. We had to use the following algorithms for CIFAR_10 and MNIST dataset:
  
  • KNN
  • Decision Tree
  • Random Forest
  • Logistic Regression
  • K-Means
• Assignment 5 was using CNN for CIFAR_10 dataset with pytorch library.
• Optional assignment was Two Sigma Connect: Rental Listing Inquiries contest on Kaggle

Note 1: I used Google Colab for last three assignments.
Note 2: My reports in jupyter files are written in Persian because it was a rule of our course.