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".
End-to-End Used Car Price Prediction using Ensemble Learning | Extra Trees, Random Forest, Gradient Boosting | Python • Scikit-learn
Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries
Machine learning pipeline for predicting employee attrition using ensemble models and feature engineering.
Prediction of forest cover type in Python.
Precision-preserving optimized inference for one-dimensional reactive contaminant transport, with validated ADR1D-ML-Compact and ADR1D-NN-Fast models and reproducible Python workflows.
An AI-driven hotel classification system using Extra Trees with SHAP-based explainability. Includes Streamlit frontend and FastAPI backend for deployment.
Fast gradient-boosted decision trees for Apple Silicon. A lightweight, sklearn-style Python API powered by MPS and Metal.
Data Science Project (Autonomous Driving Dataset Analysis)
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.
Sampling Assignment: Download dataset, balance classes, apply ML models with different sampling techniques to evaluate performance.
End-to-end Data Science project on Amazon Sales. Features data cleaning, EDA, outlier detection, and predictive modeling using Python, Pandas, and Scikit-learn.
Mitsui Kaggle — ExtraTrees with single-lag & group-lag features
Predicting Appliance Energy use in Residential Buildings.
Credit Card Fraud Detection with Python. Implemented various classification algorithms in scikit-learn and Built a Neural Network in Tensorflow
GRASS GIS ML scripts (Decision Tree, Extra Trees) for bimonthly land-cover monitoring of a 2023 Landsat series over the Rif Mountains, Morocco. Scripts for Lemenkova, Geomatics 2025, 5(1):5.
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.
Classical machine learning techniques to the problem of protein function prediction based solely on amino acid sequences. The task is formulated as a supervised multi-class classification problem, using functional annotations derived from the UniProt and Gene Ontology databases.
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