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aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

ab-framework

Notes and Python scripts for A/B or Split Testing

ab-stats

A presentation explaining the statistics behind AB-testing using live simulations

algorithmic-examples

Algorithmic Marketing Models

apm_exercises

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

arm

My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill

art-forum-2017-stan-tutorial

Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017

bambi_resources

Educational resources

bap

Bayesian Analysis with Python

baseball

Baseball data analysis in Python

bayes-workflow-book

Source files for the book "Bayesian Workflow Using Stan"

bayes_days

R & Stan code associated with my "Bayes Days" workshop

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bayesian-analysis-with-python-second-edition

Bayesian Analysis with Python - Second Edition, published by Packt

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bda_py_demos

Bayesian Data Analysis demos for Python

bda_r_demos

Bayesian Data Analysis demos for R

bds

Code and examples from Business Data Science

bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

bootstrapbandits

Based on Thompson sampling with the online bootstrap (Dean Eckles,Maurits Kaptein).http://arxiv.org/abs/1410.4009

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

causal_impact

Python package for causal inference using Bayesian structural time-series models.

causalimpact

An R package for causal inference in time series

causalml

Uplift modeling and causal inference with machine learning algorithms

cmdstanpy

CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.

code-from-meetup-talks

coursera-stanford-ml-python

Coursera/Stanford Machine Learning course assignments in python

ctci

Cracking the Coding Interview, 5th Edition

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions