xboost

To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.

Machine Learning model to predict the health of the car engines using various algorithms like KNN, SVM, Random Forest, Xboost Classifier.

AI-powered supply chain decision intelligence system for shipment delay prediction, risk assessment, and optimized mitigation recommendations using XGBoost, FastAPI, React, and optimization techniques.

how to predict score credit to home credit indonesia with machine learning modeling, find more to Home Credit Indonesia

An interactive ML decision engine and Streamlit dashboard for real-time credit risk modeling, Probability of Default (PD) scoring, and portfolio expected loss analytics.

End-to-end project to predict basketball player points. (regression problem)

Credit risk prediction using machine learning with Logistic Regression, SHAP explainability, threshold optimization and XGBoost comparison.

An information-theoretic ML pipeline for Kaggle. Computes rows-wise Shannon Entropy to track service evaluation consistency, applies relativistic Lorentz damping to compress tabular delay outliers, and utilizes regularized Hill Climbing to optimize a Level-1 Triple Stack Ensemble

AI-Powered Quick Commerce Delivery Intelligence System — End-to-end analytics & ML prediction dashboard for Blinkit, Zepto, Swiggy Instamart | 9.4L orders | Random Forest R²=0.9658 | Streamlit + Plotly + XGBoost | Live Deployed

Implemented time series forecasting to predict future orders for Glovo, utilizing models such as ARIMA/SARIMA, LASSO, XGBoost, and Linear Regression.

Strona w HTML przewidująca popyt na rowery w Seoulu, porównująca wyniki modelu XBoost i regresji liniowej

Complete ML pipeline for Titanic survival prediction using Logistic Regression, Random Forest, XGBoost, and SVM includes EDA, preprocessing, tuning, and feature importance.

Comparison of multiple machine learning classifiers for corporate bankruptcy prediction using financial ratios, class imbalance handling, and cross‑validation.

AI-powered real-time traffic intelligence for India

Proyecto de predicción de ventas para las proximas 6 semanas de todas las tiendas , con representación de datos, usando Python con librerías distintas como Pandas, Numpy,Matlab, Seaborn para análisis de datos, recopilación e interpretación de los datos, además de modelos predictivos.

Benchmarking Tree-Based Ensemble Methods for Multi-Year Daily Precipitation Forecasting Across the Contiguous United States (2000-2023)

XGBoost vasitəsilə neftin gələcək qiymətinin proqnozlaşdırılması layihəsi

ML and data processing

Machine learning pipeline for football match outcome prediction using feature engineering, Random Forest and XGBoost models.