A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

This repository is meant to share my work in implementing kLDEDW to Software Defect Prediction projects.

Data Science lectures.

Automated testing of machine learing

Interpretability and explainability of data and machine learning models

Python implementations of the Boruta all-relevant feature selection method.

Automatic repair system for static analysis warnings from SonarQube's SonarJava

Resources about Machine Learning, mostly oriented to newcombers to ML with online courses and introductory books.

Sitio web de la Escuela Latinoamericana de Aprendizaje Profundo 2022.

open-source feature selection repository in python

Bayesian Comparison

This repo illustrates how to evaluate the artifacts in the paper Deep Just-in-Time Defect Prediction: How Far Are We? published in ISSTA'21.

Slides about different topics related to Artificial Intelligence.

Extended Complexity Library in R

Tutorial on Bayesian tests for Machine Learning