In this project we try to predict home credit default risk for clients. We try to predict, if the client will have payment difficulties or not.

[Information System] SMUTF: Schema Matching Using Generative Tags and Hybrid Features

Machine Learning Model for predicting the estimated amount for renting a bicycle as a function of various parameters like the day of the week, wind speed, temperature, etc.

A comprehensive end-to-end machine learning system that predicts loan default risk using advanced algorithms and provides a professional web interface for risk assessment.

Photometric light curves classification with machine learning

Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.

Forest Cover Type Prediction Kaggle competition repository.

Disease risk prediction autoML based on Lightgbm,Optuna ,Shap value and MLflow

Systematic signal refinement: PIT data → triple-barrier labels → LGBM/MLP → calibrated classwise blend → probability-weighted portfolio with realistic costs.

ML classification project identifying term deposit customers for a bank.

We will be making use of Spotify API (Spotipy) accompanied by Python to get data from Spotify Web API. Based on the data extracted from each music we planned to analyse various audio features and patterns of the music.

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

📊 Predict obesity levels using demographic and biometric data through a complete Azure ML and Databricks pipeline for automated model deployment.

A LightGBM-based bot classifier implementation for Twitter.

Predict students' dropout and academic success using LightGBM

Contains the code file used for submission and feature engineering in the Home Credit Default Risk competition (rank 1029/7198; top 13%).

Developed an end-to-end ML pipeline for Santander Customer Transaction Prediction problem using LightGBM, with a fully functional Streamlit UI and a FastAPI backend for real-time predictions.

Rest API for predicting default scores