This machine learning project aims to recommend the most suitable crop to grow based on various soil and environmental factors. The model takes into account the following input data:

This project is a machine learning model for predicting customer churn in the telecom sector. It's designed to identify customers at risk of leaving a telecom service, enabling proactive retention efforts.

Classification of Iris setosa, Iris versicolor and Iris virginica

A comparison between a few machine learning classification algorithms

Linear Regression Price Prediction

Build a prediction model for nba next season via machine learning

titanic in traditional machine learning

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

Implementation of various ML Algorithms

Implementations of various Machine learning models (along with explanations)

Predicting the persons of interest who were responsible for the Enron fraud from the Enron emails dataset

Predicts effective yield strength of a composite given its 3D microstructure

My experiments with Machine Learning

Public portion of algorithm to predict changes in the Foreign Exchange market.