Task 1 - gradient descent - write code that finds a local minimum of 2 hardcoded functions.
Task 2 - evolution algorithm - write evolution algorithm that finds a local minimum of th bird function:
https://www.indusmic.com/post/bird-function
Task 3 - Tic Tac Toe mini-max algorithm - write mini max algorithm with alpha-beta cutting that will play Tic Tac Toe
Task 4 - Naive Bayesian Classifier - write Naive Bayesian classifier that will predict wine classes. Use dataset from link below:
https://archive.ics.uci.edu/ml/datasets/Wine+Quality
Task 5 - Neural Network - implement Neural Network with single hidden layer - draft done in cooperation with @ianczyko
Task 6 - Reinforcement learning - implement Q-learing algorithm that will allow agent to learn to move around given labirynt and achieve goal / finish field
Task 7 - Bayesian Models - implement bayesina network generator that will produce "random" samples consistent with conditional probabilities distribution