bawcos,Bradley,github

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hdbscan_paper

Source files and notebooks for a paper on accelerating HDBSCAN*

introduction_to_ml_with_python

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

ipsur

IPSUR, Introduction to Probability and Statistics Using R, is a textbook written for an undergraduate course in probability and statistics. IPSUR is FREE, in the GNU sense of the word.

juliacoursenotebooks

Jupyter notebooks for the Julia Scientific Programming course on Coursera

kaggle-allstate

Allstate Purchase Prediction Challenge on Kaggle

kubernetes-training-answers

Answer key for my Kubernetes for Beginners Course on Udemy

leaflet

R Interface to Leaflet Maps

lime

Lime: Explaining the predictions of any machine learning classifier

littlebooks

Materials for the MOSAIC "Teaching Statistics with R and RStudio"

machine-learning-books-with-python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

master-data-analysis-with-python

Public Repository for the three-volume book series Master Data Analysis with Python (dunderdata.com/books)

math300s

Topics for my blog for Math 300 Scholars

mban_orientation

Materials for day-long trainings in data science and optimization

mcts.jl

Implements Monte Carlo Tree Search

mdsr

Complement to CRC Press book *Modern Data Science with R*

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

moderndiver-book

ModernDive: An Introduction to Statistical and Data Sciences via R at http://www.moderndive.com

mooc-setup

Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

morss-2019

Slides for MORS

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more