/ML-From-Scratch

Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.

Primary LanguagePythonMIT LicenseMIT

Machine Learning From Scratch

Python implementations of some of the foundational Machine Learning models and algorithms from scratch.

While some of the matrix operations that are implemented by hand (such as calculation of covariance matrix) are available in numpy I have decided to add these as well to make sure that I understand how the linear algebra is applied.

The purpose of this project is purely self-educational.

image

##Update:

I have forked this excellent attempt by Eric and removed the dependency of sklearn for datasets and some pandas so that the entire library can be used by anyone where sklearn and pandas is not always installed by default, such as in my office. :)

##Current implementations: ####Supervised Learning:

####Unsupervised Learning: