Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Instructional notebooks on music information retrieval.

strip output from Jupyter and IPython notebooks

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Non-Intrusive Load Monitoring Toolkit (nilmtk)

CatBoost tutorials repository

IPython Notebooks to learn Python

Jupyter for Visual Studio Code

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

A py.test plugin to validate Jupyter notebooks

Scipy Cookbook

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Code and Examples for Relevant Search

Real-time GCC-NMF Blind Speech Separation and Enhancement

Jupyter/IPython notebooks about evolutionary computation.

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

WebRTC for Jupyter notebook/lab

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

📊 Algorithm Visualizer for IPython/Jupyter Notebook

Pytest in IPython notebooks.

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

An IPython notebook plugin for visualizing ASTs.

A collection of Jupyter/IPython notebooks

Kaggle Competition for Predicting NCAA Basketball Tourney Games

Tutorial on Using Pandas

Rendering IPython Notebooks using Flask