Modern Time Series Forecasting with Python 2E, Published by Packt

An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.

Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more for smarter decisions.

Time Series Forecasting with LightGBM

Forecasting with Gradient Boosted Time Series Decomposition

Time series forecasting with machine learning models

Curso de Introducción a la Programación en Python - Impartido en TECNUN Universidad de Navarra

Curso de introducción a la programación con python para Launch X de Innovacción Virtual

Repositorio del Curso de Machine Learning de la A a la Z con R y Python

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

VIP cheatsheets for Stanford's CS 230 Deep Learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence

A collection of conference presentations by Gerhard Svolba on various analytical topics

Materials for Data Science in the Tidyverse, a two-day workshop @ rstudio:conf(2019)

Study guides for MIT's 15.003 Data Science Tools

Repository for data science book

Repositorio para el libro de ciencia de datos.

This is the repository for the Intro to ML course from the Datalab-ICMAT group. Here you will find all the course material.

Code to go with Jason Brownlee's TS eBook