C

classification

A data mining project analyzing hate crime patterns in the United States from 2017 to 2025, using clustering, predictive modeling, and association rule mining.

Supervised learning pipeline for rare event operational failure prediction, integrating leakage resistant preprocessing, class weighted modeling, precision recall threshold calibration, ROC AUC benchmarking, and permutation based feature importance to analyze production stress drivers.

API FastAPI permettant d’identifier des espèces de pingouins à partir de données tabulaires optionnelles et/ou d’une image.

L’API renvoie une liste d’espèces probables avec leurs probabilités et inclut :

Classification Machine Learning (RF, KNN, LR) Fusion multimodale (tabulaire + image) Journalisation des requêtes/réponses (SQLite) Interface web pour consulter les logs Interface web pour tester les prédictions Notebooks pour exploration et entraînement

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

Fresh Class🍎, A deep learning web application that classifies 6 types of fruits into 'Good' or 'Bad' quality using MobileNetV2 CNN. Features a Next.js frontend with real-time image classification. Team members: -Salah Eddine Berredjem -Ziad Abadlia -Tesnim Lala Bouali -Ines Goutel -Imen Kanoua -Mohamed Saber Tata

This repository contains data and code utilized for the metric-learning based classification of the “human E3 ligome”–an extensive set of catalytic human E3s–by integrating multi-layered data, including protein sequences, domain architectures, 3D structures, functions, and expression pattern. Manuscript: https://www.biorxiv.org/content/10.1101/2025.03.09.642240v1.full.pdf

Built a complete machine learning pipeline in SparkML using the Adult Census dataset (~48k rows, 14 features). Implemented data preprocessing, feature encoding, cross-validation, and model training with Logistic Regression and Random Forest. Evaluated models with metrics such as AUC and F1-score. Reflected on scalability trade-offs and optimizations in distributed ML.

Using Natural Language Processing (NLP) on job ads for applications in Econometrics.

An example of tabular data regression (parameter estimates) using TabNet

Evaluación de distintos modelos para clasificar aguas entre potables y no potables

My attempts to solve homework from the Moscow Institute of Physics and Technology course

Collection of completed data-mining (university course) on python

Analisi di un dataset contenenti informazioni su diverse tipologie di vetro.

Machine Learning - Binary Classification

Machine Learning - Binary Classification

Machine Learning - Binary Classification (NLP)