WSI - assignments

Content

• lab-1 - descent gradient algorithm
• lab-2 - evolutionary algorithm
• lab-3 - minimax algorithm with alpha beta pruning
• lab-5 - multilayer perceptron and gradient optimization
• lab-6 - Q-learning algorithm
• lab-7 - naive bayes classifier

Get repository

git clone https://github.com/JMazurkiewicz/WSI-assignments.git
cd WSI-assignments

Install requirements

python -m pip install -r requirements.txt