using Drebin dataset to distinguish between malwares and not malwares
Rice Crop Yield Estimation Using Satellite Data - EY Open Science Data Challenge 2023
This repository contains the source code to reproduce the paper "Feature-based No-Reference Video Quality Assessment using Extra Trees".
Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries
End-to-End Used Car Price Prediction using Ensemble Learning | Extra Trees, Random Forest, Gradient Boosting | Python • Scikit-learn
Fast gradient-boosted decision trees for Apple Silicon. A lightweight, sklearn-style Python API powered by MPS and Metal.
Prediction of forest cover type in Python.
Machine learning pipeline for predicting employee attrition using ensemble models and feature engineering.
Predicting Appliance Energy use in Residential Buildings.
An AI-driven hotel classification system using Extra Trees with SHAP-based explainability. Includes Streamlit frontend and FastAPI backend for deployment.
Mitsui Kaggle — ExtraTrees with single-lag & group-lag features
Precision-preserving optimized inference for one-dimensional reactive contaminant transport, with validated ADR1D-ML-Compact and ADR1D-NN-Fast models and reproducible Python workflows.
End-to-end Data Science project on Amazon Sales. Features data cleaning, EDA, outlier detection, and predictive modeling using Python, Pandas, and Scikit-learn.
Sampling Assignment: Download dataset, balance classes, apply ML models with different sampling techniques to evaluate performance.
Data Science Project (Autonomous Driving Dataset Analysis)
🏆 Chemical Process Yield Prediction for a competitive ML hackathon using feature engineering and Extra Trees regression.
A website visualising various classification algorithms
End-to-end machine learning pipeline for credit card fraud detection with risk scoring and investigation queue. Uses Extra Trees classifier with calibrated thresholds, explainability (permutation importance), drift monitoring, and a Streamlit dashboard. Human-in-the-loop decision support, not auto-blocking.
LaTeX source for the article 'Improving Bimonthly Landscape Monitoring in Morocco, North Africa, by Integrating Machine Learning with GRASS GIS' (Lemenkova, Geomatics 2025, 5(1):5). Decision Tree and Extra Trees classification of a bimonthly Landsat time series in GRASS GIS.
An explainable machine learning project for heart disease prediction, featuring exploratory data analysis, model comparison, hyperparameter tuning, and SHAP explanations.
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