Program assignment for The Elements of Statistical Learning, T.Hastie in Matlab

Working and Implementation of various Machine learning classification algorithms using realtime dataset.

palmer penguins Dataset- Classification of penguin's species using supervised machine learning

Restaurant Revenue Prediction using Machine learning models

applied the methods and techniques of the Data Analytics on Health Care Dataset

TDI Application - Analysis on Drug Reviews Dataset

hr attrition using supervised learning

A compilation of machine learning projects covering data cleaning, feature engineering and selection, model tuning and testing and model evaluation.

This repository contains implementations of linear classification models developed from scratch using PyTorch, as part of Assignment 2. The assignment focuses on understanding discriminative linear classifiers, loss functions, optimization using gradient descent, and performance evaluation for both binary and multiclass problems.

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