xbgoost

📊 A comprehensive comparison of TabNet and XGBoost across binary classification, multiclass classification, and regression tasks, showcasing performance metrics and fine-tuning results.

Employ the Spain's European Health Survey to predict risk of depression/anxiety

PLAYER RATING ANALYSIS

A Machine Learning–based credit card fraud detection system using a hybrid ensemble of Random Forest and XGBoost. and LightGBM and CatBoost The project handles highly imbalanced data using SMOTE, performs and real-time fraud transactions prediction

Predicting residential energy demand for July using Random Forest and XGBoost in R. Live Shiny app deployed on shinyapps.io.

Projet de Machine Learning visant à prédire la survenue d'un accident vasculaire cérébral (AVC) à partir de données médicales. Le projet couvre la préparation des données, l'entraînement de plusieurs modèles, leur évaluation et la comparaison de leurs performances. End-to-end Machine Learning project for stroke risk prediction using Scikit-learn

Data science project predicting SuperStore sales with Linear Regression and XGBoost. Uses date-based, engineered (discount, competitor price), and encoded categorical features. Includes preprocessing, MSE evaluation, and visualizations. Part of #60DaysOfLearning2025.

Classifying whether an asteroid is hazardous or not.

Timeseries analysis - Study case of a small business using ARIMA,SARIMA and XGBoost models to predict stock based on sales.

Multi-stage machine learning pipeline (Random Forest, XGBoost, SMOTE) to classify periodic genes in S. cerevisiae cell cycle microarray data.

Multimodal adverse drug reaction prediction using BioBERT + XGBoost fusion with SHAP explainability — built on FDA FAERS data

A loan default payment model

Short analysis of the UCI heart disease analysis, as well as walking through building a predictive model gradient boosted regression model.

📊 Predicting telecom customer churn to enable targeted retention campaigns — XGBoost & feature engineering.