aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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

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

The "Python Machine Learning (1st edition)" book code repository and info resource

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A computer science textbook

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A complete course for learning Bitcoin programming and usage from the command

Open Content for self-directed learning in data science

Beaker Extensions for Jupyter Notebook

Home for Elasticsearch examples available to everyone. It's a great way to get started.

A collection of IPython notebooks covering various topics.

Code, Notebooks and Examples from Practical Business Python

Text and supporting code for Modeling and Simulation in Python

Scrape public filings of the buy + sell orders of U.S. senators and calculate their returns

Python implementation of Deep Learning book

Making predictions on prices in the Deutsche Börse Public Dataset using neural networks

ETL with Python - Taught at DWH course 2017 (TAU)

DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery

deep learning for MIR

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

Uses NLP to analyze nearly 3 million restaurant reviews from the Yelp dataset

This repository contains material for the Columbia Data Science Society's Applied Machine Learning workshop held on 02/28/2019.