Heiner's Projects
Data Science Curriculum for the non-technical
Vivid notes from Andrew Ng's deeplearning.ai course by Tess Fernandez
Community translations of TensorFlow documentation
Repository for data science book
Course work from MIT's "Introduction to Computer Science and Programming Using Python" on edX.
Estadística Inferencial para Machine Learning e Inteligencia Artificial con R y Python con los Drs R.Alberich y A.Mir
A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions
An implementation of the Grammar of Graphics in R
An open source github contribution analyzer
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
Ficheros de ayuda para master UB
Introduction to machine learning
Probability-The Science_of_Uncertainty_and_Data taught by the Institute for Data, Systems, and Society (IDSS) MIT faculty Professor John Tsitsiklis
MITx - 6.86x - Machine Learning with Python-From Linear Models to Deep Learning
Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science
Notes for 18.6501x, Fundamentals of Statistics on edX
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
K-Means Clustering and PCA to categorize music by similar audio features
Hello! Here you can find some of the projects I have worked in and some material I have prepared for my students. Please read carefully the readme.md archive. Have a nice day!
Curso de introducción a la estadística descriptiva con R Studio
Introduction to Probability - The Science of Uncertainty
This is a repo for my Bertelsmann Data Science Scholarship Challenge: notes, exercises, quizzes.
Udemy Course to build, compose, deploy, and manage containers from local development to high-availability in the cloud