All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All pac…

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

Statsmodels: statistical modeling and econometrics in Python

Repository for all of the code that was written for the FreeCodeCamp Course and the answers for all of the exercises.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Source code for the book "Math for Deep Learning" (No Starch Press)

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

This repository contains demos I made with the Transformers library by HuggingFace.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Repository containing code for Medium articles for Towards Data Science publication

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

This repository contains all resources (code, notebooks,etc) used for my Medium blog page.

Understand the competitive landscape of any industry by analyzing publically available data. The following is a case study that examines the Spanish ESL market using the most popular private teache…

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

A game theoretic approach to explain the output of any machine learning model.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Data Science Best Practices with pandas

A unified framework for machine learning with time series