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apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

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

awesome-python

A curated list of awesome Python frameworks, libraries and software

awesome-r

A curated list of awesome R frameworks, packages and software.

bookrepo

caffo-coursera

A repository of my Coursera latex code and notes

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencecoursera

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

dc-ml-2019

Materials for the Applied Machine Learning Workshop in Washington DC

exploratory-data-analysis-course-project-1

getting-and-cleaning-data

go

The Open Source Data Science Masters

house-prices

littleinferencebook

A book for the coursera statistical inference class

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

metabarcode-course

EvoHull bioinformatics and metabarcoding repository

moderndive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

my_name_streamlit

learnin how to create a web app

openintro-statistics

An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pydata-book

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

python-machine-learning-cookbook

Code files for Python-Machine-Learning-Cookbook

r-pkgs

Building R packages

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"