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

Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎

A python script for basic data cleaning/manipulation and modelling based on the open source House Sales Advanced Regression Techniques(Kaggle)

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

JOB-A-THON - January 2023

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

House price estimation from visual and textual features using both machine learning and deep learning models

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

Interpreting wealth distribution via poverty map inference using multimodal data

The goal of the challenge is to predict, based on the analysis of the correlation of a year of consumption and weather training data, the electricity consumption of two given sites for a test year.

To develop a machine learning model that accurately predicts housing prices using the Boston Housing dataset by analyzing various house features, and it utilizes a CatBoost model to assist potential buyers or sellers in estimating housing prices.

YouTube View Count and Viewers Analysis Model

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

This repository contains a comprehensive analysis and predictive modeling project for the National Iranian Gas Company. The project aims to explore gas consumption data, identify patterns and anomalies, and predict future consumption trends using various statistical and machine learning models.

This repository will work around solving the problem of food demand forecasting using machine learning.