This is a simple exercice on Python implementation of different Machine Learning algorithms: SVM, DecisionTree, which are currenty available. In March 2018, I will implement also unsupervised learning and deep learning.

----------Updated 13/08/2020-----------------

Added a toy class solving simple maze problems with RL algorithms

----------Updated 24/12/2019-----------------

Starting looking back and testing basic functions of the module I developped.

• Neural network has worked on MNIST dataset, in spite of long training time, as the back propagation is not optimized and traverse all sample points.

----------Updated 01/12/2018----------------

The Neural Network and EM were added in March/April 2018. Now it's time to practice something more interesting: reinforcement learning and NLP