sckit-learning

Detection of fractures in images by obtaining the X and Y coordinates of the center of the fracture applying ML (SVR). It is applied to a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1 Compared to other tests using DL for the same set of data, much better precision and training time

Aulas sobre DS e AI - AcademIABB

Detection d'anomalies non supervisee (Isolation Forest, scikit-learn) sur 2 400 transactions, avec analyse critique des resultats

"A Django weather forecasting app with synthetic data generation and a real ML prediction pipeline."

This repository contains the code for detecting bone-fracture using computer-vision.

Testing feature engineering with python

AI-powered career guidance system that analyzes academic performance and user interests to recommend suitable career paths using Machine Learning and Flask.

End-to-end BI project — SQL Server + Power BI (5 pages, 20+ DAX measures) + ML on chocolate sales star schema data

Unsupervised anomaly detection that prioritizes lease payments for AML review when no labels exist: per-client robust baseline, Isolation Forest calibrated by review capacity, expanding-window validation, and per-alert attribution. Reference implementation on generated data.