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This repository contains implementation of regression and feature selection without the use of any ML libraries.

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LearningLeopard/Implementing-ML-algorithms-from-scratch

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Implementing ML algorithms from scratch

This repository implements polynomial regression using gradient descent and stochastic gradient descent and feature selection using greedy forward and greedy backward selection without the use of popular machine learning libraries like scikit learn. Click on the links to know more about each algorithm.

Credits

This assignnemt is done under Dr. N.L.Bhanu Murthy for the course "Foundations of Data Science" at BITS Pilani Hyderabad Campus.

Team details

  1. Chaitanya Chakka
  2. Shashivardhan Vadyala
  3. Bala Tharun Reddy

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This repository contains implementation of regression and feature selection without the use of any ML libraries.

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