A demo of an end-to-end machine learning pipeline, using RStudio Connect

🤖⚡ Daily scikit-learn tips

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.

An ongoing repository of data on coronavirus cases and deaths in the U.S.

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

Notebooks of Python and R code which illustrates basic causal inference using simulated data

Book about interpretable machine learning

Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019 (Boston)

Aggregate and analyse information on clinical trials from public registers

VIP cheatsheets for Stanford's CS 229 Machine Learning

This repository contains a notebook demonstrating the practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

A curated list of awesome Deep Learning tutorials, projects and communities.

AB test framework for python

Python Deep Learning Projects, published by Packt

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

R notebooks for the code samples of the book "Deep Learning with R"

An interactive book on deep learning. Much easy, so MXNet. Wow.

A Python Toolkit for Outlier Detection (Anomaly Detection)

Anomaly detection implemented in Keras

Data Analysis Using Python

Data Science projects for Windfall Data

Data Science Resources (Mostly Free)

A small repository for keeping repeating code chunks that are mostly required for the typical errands in machine learning projects.

A curated list of awesome Machine Learning frameworks, libraries and software.

L1 trend filtering

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

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code