In the project we built the following algorithms : Decision Tree Classifiier and Regressor, AdaBoost Classifiier , Gradient Boost Regressor

Predicting Marijuana Use Disorder: A Machine Learning Approach

Investigate personnel elements influencing organizational dynamics by looking at HR analytics data using python and advanced machine learning models. Forecast employment status, estimate the period of termination, and maximize performance and satisfaction initiatives.

Model for easy facilitation of visa processing and approvals

This repository is dedicated to the study of functional trait divergence using machine learning methodologies. It encompasses datasets, code, tables, and visual representations pertinent to the research.

This dataset from "ShufersalML" captures customer order history, aiming to predict future purchases using Python. It involves interconnected files that detail customer orders over time. The goal is to build a predictive model leveraging past order patterns to anticipate which products a user is likely to include in their next order.

Term Deposit Subscription Prediction Model

Sports Analytics in Python

Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)

Price diamonds using regression and decision tree models

IST 5535 Machine Learning Algorithms and Applications in R Project, where we developed a predictive model to predict the UPDRS score for Parkinsons Disease based on different dysphonia (noise) measures.

Help Carvana determine which cars should be avoided at used car auctions

I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0

Pump it Up, Data Mining the Tanzania Water Table

The project focuses on the Exploratory Data Analysis (EDA) of the given Performance dataset, which includes marks obtained by students in different subjects.

Predicting Wine Quality with Random Forest Algorithm

Experiments in ML with tidymodels

A Machine Learning project for Machine Learning Internship offered by InternshipStudio.

6th Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Model Tuning (GridSearchCV & RandomizedSearchCV)

The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.