Python Data Science Handbook: full text in Jupyter Notebooks

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

This is a repo with links to everything you'd ever want to learn about data engineering

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.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Collection of notebooks about quantitative finance, with interactive python code.

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Jupyter notebooks from the scikit-learn video series

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Code, Notebooks and Examples from Practical Business Python

A use-case focused tutorial for time series forecasting with python

Statistics Tutorial for IT Operations Engineers

Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects