abdoelabassi / mitx-mltodlwpython

MITx micromaster class, Machine Learning w/ python, from linear models to deep learning

MITx

This repo is related to projects of MITx;A machine learning course developed by MIT professors and stuff.

Contains all projects from linear models to deep learning.

Contents

• Linear Classifiers, Regularization: Sentiment analysis
• Neural Networks with Pytorch: ANNs, RNNs, CNNs
• Unsupervised Learning : K-Nearest, Mixture Models and EM algorithm (Gaussian Mixture Models)
• Reinforcement Learning: Q-Learning algorithm

Tools

you gonna need this following packages:

numpy, matplotlib, scipy, tqdm, scikit-learn , pytorch

visit Pytorch for more installation guide depending in your OS and envs (pip or anaconda) w/ or wo/ CUDA.

Using conda environment

Create your environment

  conda create -n <name of your env> python==3.9
  

Then activate the env

conda activate <name of your env>

Using pip (or conda), in one go, install these packages

pip install numpy scipy matplotlib tqdm scikit-learn

Note:

This is not a project repo, it's a somewhat a guide for new verified learners to slove the project problems, in case they stuck.

Author : EL Abassi Abderrazaq