implementing ML algorithms from scratch

this is the great place to understand implementation of ML algorithms from scratch and using them on dataset.

This repository contains a collection of machine learning algorithms implemented from scratch in Python. It serves as a learning resource for understanding the fundamental concepts behind these algorithms. Basically, we will implement one algorithm each day on this repositories and test algo on dataset, this will help beginners to get start with machine learning. I personally recommend to have basic knowledge Numpy, Pandas like python libraries.

List of algorithms we have implemented :

• Supervised Learning:
  • Linear Regression

for more reference, Watch this youtube series!!

Watch the youtube playlist here

contributing :

Contributions are welcome! Please feel free to submit a pull request or open an issue if you have any suggestions or improvements.

Contact Information

for any queries, plz contact [email protected]