using Drebin dataset to distinguish between malwares and not malwares
Rice Crop Yield Estimation Using Satellite Data - EY Open Science Data Challenge 2023
Traductor del alfabeto estático de lengua de señas peruana para web y Android, con MediaPipe y 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.
This repository contains the source code to reproduce the paper "Feature-based No-Reference Video Quality Assessment using Extra Trees".
Machine learning pipeline for predicting employee attrition using ensemble models and feature engineering.
End-to-end Data Science project on Amazon Sales. Features data cleaning, EDA, outlier detection, and predictive modeling using Python, Pandas, and Scikit-learn.
Prediction of forest cover type in Python.
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.
Sampling Assignment: Download dataset, balance classes, apply ML models with different sampling techniques to evaluate performance.
🏆 Chemical Process Yield Prediction for a competitive ML hackathon using feature engineering and Extra Trees regression.
Data Science Project (Autonomous Driving Dataset Analysis)
Predicting Appliance Energy use in Residential Buildings.
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.
An AI-driven hotel classification system using Extra Trees with SHAP-based explainability. Includes Streamlit frontend and FastAPI backend for deployment.
A website visualising various classification algorithms
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.
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