Deep Q Learning (DQN) neural net to optimize a lunar lander control policy using OpenAI Gym environment.

Implementation of various algorithms on scikit-learn's Toy Datasets.

Prediction of forest cover type in Python.

Comparison of Models using NASA Kepler data

Second project about Classification

Cat vs. Dog classification model using traditional ML methods, including data collection, splitting, HOG feature extraction, model training (e.g., SVM, Decision Tree), and fine-tuning via Grid Search.

Combine grid search with early stopping via cross validation

Implémentation des algorithmes simples de Data Science

This repository contains the code and data for a comprehensive survival analysis and prediction study conducted on patients with advanced heart failure. The study focused on 299 patients classified as class III/IV heart failure.

Breast Cancer Wisconsin Dataset Classifier with Scikit-learn and Streamlit

Predict the outcome of shelter animals

Reducción de tiempo de ejecución de los algoritmos de Machine Learning con búsqueda de parámetros en GridSearch.

Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.

Code for 1th and 2th stage of 2020 NTI ML competition.

The aim of the project is to determine if a customer will default payment next month or not.

Various small projects covering a wide range of topics