# MachineLearning

**Repository Path**: xiaojigong/MachineLearning

## Basic Information

- **Project Name**: MachineLearning
- **Description**: Implementation of Machine Learning algorithms by myself in Python
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-08
- **Last Updated**: 2021-01-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MachineLearning


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