Machine Learning Algorithms in Python

Implementation of some machine learning algorithms in Python. The goal is to code these algorithms from scratch to have a better grasp of how they work.

Work in progress. Implemented at the moment:

• Deep Learning
  • MLP: Fully connected neural nets

Kudos to https://github.com/hedstroem for the big brain help.

Folder Structure

ml-algorithms
│   README.md
│   requirements.txt   
│ 
└─── deep_learning
│       neural_network.py: main code
│       activation_functions.py
│       initializers.py
│       layers.py
│       losses.py
|       optimizers.py
|       util.py
└─── examples
│       neural_net.py

Resources

• Inspired by: https://github.com/eriklindernoren/ML-From-Scratch
• https://www.ics.uci.edu/~pjsadows/notes.pdf
• http://neuralnetworksanddeeplearning.com/chap2.html
• https://www.deeplearningbook.org/contents/mlp.html
• https://www.ics.uci.edu/~pjsadows/notes.pdf