Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

Build a machine learning model that predicts the Envision Racing drivers’ lap times.

Telecom Customer Churn Prediction with 9 Different Alghoritms

Machine Learning Regression Problem: Predicting the Car Orders Price (IDR) given car orders dataset

API files for Stutern inter-track-webapp for rent prediction.

You are provided hourly rental data along with weather data. For this competition, the training set is comprised of the first 20 days of each month, while the test set is the 21th to the end of the month. You must predict the total count of bikes rented during each hour covered by the test set, using only information available prior to the renta…

Developed a multi-class classification model to identify and classify faults according to specified categories. The model can be used to flag a device returning faulty data automatically.

Student performance

Prediction of the sale price of a vehicle using predictive models using gradient boosting

JOB-A-THON - January 2023

Machine Learning Regression Problem: Predicting the CO2 Emission (g/km) given four wheel vehicle dataset

YouTube View Count and Viewers Analysis Model

CatBoost regressor for Predicting alcohol level based on chemical properties of the white wine

Sales prediction and data enrichment using Catboost and Upgini.

Predictive Uncertainty in Gradient-Boosted Regression Trees : A Muon Energy Reconstruction Case Study

PlayerUnknown’s Battlegrounds (PUBG) is a popular battle royale game where players compete against each other in a last-person-standing format. Winning a match requires a combination of skill, strategy, and luck. In this project, we aim to predict the likelihood of winning a PUBG match based on various in-game features.

A web app to predict fare for some indian flights. An end-to-end machine learning project.

In this project I have implemented 15 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

Accident damage prediction using catboost regressor

Predict precipitation to mitigate flood damage in Bangladesh