👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

• UpdatedMar 9, 2025
• Python

IBM Employee Profiling using Clustering

• UpdatedAug 2, 2022
• Jupyter Notebook

Use a variety of data science techniques to detect whether a tax return is fraudulent or not.

• UpdatedMay 11, 2021
• R

Python project for the Algorithmic Methods of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is building a Recommendation Engine using Locally Sensitive Hashing and using K-Means to cluster users based on their Netflix activity

• UpdatedDec 17, 2023
• Jupyter Notebook

This repository contains the implementation of a multivariate control chart with dimension reduction techniques, namely Factor Analysis of Mixed Data (FAMD) and Autoencoder. The control chart is designed for detecting network intrusions using network data traffic.

• UpdatedMar 9, 2025
• Jupyter Notebook

Datathon with a retargeting ad company. Churn date prediction (Normalized RSME 38), clustering (98% Silhouette), automated identification of the gaps between best and average client within a cluster.

• UpdatedJun 23, 2021
• Jupyter Notebook

Implémentation des méthodes statistiques notamment de l'analyse factorielle pour identifier la combinaison des caractéristiques qui sont plus susceptibles d'être associées à un accident vasculaire cérébral (AVC).

• UpdatedFeb 16, 2023
• R

This repository contains the codes from Intxaurbe et al., 2024 (Archaeological and Anthropological Sciences).

• UpdatedJun 15, 2024
• Python

We examine the relationship between variables in a fictional Telco customers dataset. The techniques used are Factor Analysis of Mixed Data and logistic regression.

• UpdatedMar 21, 2023