🇫🇷 Analyse des différences de salaire entre natifs et immigrés (Enquête Emploi 2018) 🇬🇧 Wage differential analysis between natives and immigrants (French Labor Force Survey 2018) Projet complet d'analyse de données avec Python | Full data analysis project with Python Data cleaning • Statistical modeling • Visualization • Policy implications

Several Python and R scripts, notebooks... that might be useful when studying Data Science

Supporting Jupyter notebook + sample datasets that reproduce analyses from “Electrochemical formation of copper phosphide from aqueous solutions of Cu(II) and hypophosphite ions” (Electrochimica Acta, July 2020; DOI: 10.1016/j.electacta.2020.136705).

A comprehensive collection of Python code - from exercises to projects - documenting my journey to Python mastery

Unsupervised clustering and PCA analysis of African-origin compounds using KMeans (k=4). The project identifies molecular feature patterns, visualizes clusters in reduced PCA space, and extracts representative compounds for each group.

Exploratory data analysis and sales prediction on Diwali sales data using Python.

🚀 5 Days Machine Learning Course – NIELIT 📘 Complete beginner-to-intermediate ML roadmap in 5 days 🧠 Covers core concepts, algorithms & real-world use cases 🛠️ Hands-on notebooks, code examples & mini projects 📊 Creative visuals, icons & diagrams for easy understanding.

🍽️ Comprehensive data analysis of Zomato restaurant data revealing digital transformation impact: 10.6% higher ratings for online restaurants. Built with Python, Pandas, and advanced data visualization techniques.

Machine learning projects focused on fraud detection.

Machine learning workflow for analyzing breast cancer gene expression data , including preprocessing, feature selection, model training and performance evaluation in reproducible Jupyter notebooks.

Reproducible and memory-efficient viral metagenomics pipeline with Docker, Kraken2, and manual ecological analysis in Jupyter notebooks.

Jupyter Notebook running Python online

Notebooks for "Efficacy and prospects of Digital Healthcare in Ukraine during and post-conflict" project