Why do employees leave? This project first compares the predictive performance of three different models, then uses the best model to help reveal the top contributing factors.

ML classifier using computer vision to classify photos of dogs, frogs, and hogs.

Final Project - In Vehicle Coupon Recommendation

In this repository, we dive into a famous natural language processing problem, where we classify a piece of text as hate speech or not.

Implementation of Logistic Regression for getting intuition : how neural network works

Supervised Learning

Machine Learning concepts and models like SMOTE, RandomForest Classifier, Decision Tree, K-NN, and Logistic Regression were first implemented without any ML libraries.

Algorithm Of Convex Optimizer

An investigation of San Francisco Fire Incidents using open data - exploratory analysis and modelling logit and multinomial logit regressions

A few generalized linear models and one Gaussian discriminant analysis

course assignments

Data Analysis and Binary Classification of 4 popular datasets using Logistic Regression and Naive Bayes built from scratch

This GitHub project implements a logistic regression model to analyze and predict credit risk for a lending company. Explore comprehensive training, testing, and evaluation scripts to enhance the accuracy and reliability of risk assessments. Empower your lending decisions with robust, transparent, and customizable machine learning solutions.

Logistic Regression

Linear Regression and Logistic Regression

Following Project is for predicting the list of creditworthy customers for a bank.

Determining the churn rate and factors for employee turnover