A boilerplate for Node.js web applications

Reproduce selected deep learning models from scratch in PyTorch

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Code material for a data science tutorial

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

A collection of various notebook extensions for Jupyter

Tools for diffing and merging of Jupyter notebooks.

Website and material for the FIXME course on Practical Machine Learning

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

Materials for the "Introduction to Machine Learning" class

Introduction to Machine learning with Python, 4h interactive workshop

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

Advanced Machine Learning with Scikit-learn part I

Advanced Machine Learning with Scikit-learn part II

Materials for the "Advanced Scikit-learn" class in the afternoon

Notebooks and code for the book "Introduction to Machine Learning with Python"

A little word cloud generator in Python

COMS W4995 Applied Machine Learning - Spring 18

Materials for my scikit-learn tutorial

Python Data Science Handbook: full text in Jupyter Notebooks

A python tutorial on bayesian modeling techniques (PYMC3)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

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

Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis

5 day Deep Learning School

DataHack 2017 Challenge