chandraashekar / machine-learning-from-scratch

This project implements the machine learning algorithms from scratch and compares the implementation with sklearn.

Machine Learning From Scratch

The main aim is to create machine learning models from scratch as many as possible. This project would take a long time to finish since I have to learn all the algorithmns before implementation.

I would also try my level best to write a easily understandable code and also give a clear description on how everything is working. So it would help anyone who is planning on learning machine learning.

I'm also planning on creating a blog and discussions page if anyone is intrested in checking it out.

I would not go into mathematical representations in this repository but that is something I'm still considering to include.

Any contributions are much appreciated.

Request for contribution:

• If you want to contribute to this project, you can fork this repository and make a pull request. You can also create an issue if you find any bug or want to suggest any improvement.
• It would be great if you could also add a README.md file in the folder containing the code for your implementation of Linear Regression. This will help us to compare the different implementations of Linear Regression.
• The main goal is to create a repository containing different implementations of Linear Regression in different programming languages. This will help us to understand the working of all the algorithms and optimizers used in Linear Regression.

Contributors

machine-learning-from-scratch's Issues

KNN

Implement a KNN algorithm from scratch.

Spelling Mistake in the readme file

KNN Classifier

Create a KNN classifier

Logistic Regression

Linear Regression

SVM

Implement SVM classification algorithm