Solution for Kaggle "IEEE-CIS-Fraud-Detection" competition (top 26%)

Analytics Vidhya Jantahack Agriculture, Hackathon.

Australia rain prediction model with LGBM

This repo contains machine learning algorithms such as Linear, Logistic Regression, Random Forests, XGBoost, LGBM

Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats

This repository contains the code to build a prediction engine for London housing prices

Repository for the "Google Analytics Customer Revenue Prediction" Kaggle competition.

Code for my first ML competition on kaggle. The two codes are LSTM and LGBM prediction model with technical analysis features. To download dataset for the competition visit : https://www.kaggle.com/competitions/jpx-tokyo-stock-exchange-prediction

Predicting building energy consumption as part of the WiDS 2022 Datathon

Kaggle competition, which challenge us to create algorithms for "Knowledge Tracing," the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions. We had pair our machine learning skills using Riiid’s EdNet data to get an AUC of 0.738 in private leaderboard .

Concrete strength prediction based on its composition and curing process using CatBoost, XGBoost and LGBM.

Project for applied classical ML course at the Weizmann institute

Python Machine Learning

In this project, we have to develop accurate models of metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a three-year timeframe. With better estimates of these energy-saving investments, large scale investors and financial institutions will be…

Agricultural Video AI Data Utilization Idea Hackathon

This repo contains my work on zindi competitions

Cross Sell Prediction for Health Insurance Company.

Health Profile Analysis:Revealing Disorder Paterns,Medication Guidance and Risk Classification-ML Project

This represents the car's price predictor based on LightGBM + Optuna. The final goal is to use it to predict my father's car price.