nguyentritai2906/bmlfs

Basic Machine Learning From Scratch

Basic Machine Learning From Scratch

About

This repository is my attempt to implement some basic machine learning algorithms from scratch in Python3/Numpy without using machine learning libraries. The purpose of this project is to gain a deeper understanding of how the algorithms works and the mathematics intuition behind it.

Algorithms implemented so far

• Linear Regression
• Polynomial Regression
• Logistic Regression

References

• Coursera Deep Learning Specialization by Andrew Ng
• Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow by Aurélien Géron
• Deep Learning with Python by François Chollet
• Machine Learning From Scratch by Erik Linder-Norén