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Links to slides for talks at the rstudio::conf 2018
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Working repository for Causal Tree and extensions
This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthet…
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Links to slides for talks at the 2017 rstudio::conf
Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)
R package for web-based interactive topic model visualization.
Python library for interactive topic model visualization. Port of the R LDAvis package.
Code accompanying the Real-World Machine Learning book
Machine Learning meets ketosis: how to effectively lose weight
Python Data Science Handbook: full text in Jupyter Notebooks
Statistical Data Analysis in Python
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Tutorials and training material for the H2O Machine Learning Platform
❗ This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for Online Multi-Channel Attribution. Homepage: https://channelattribution.io
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
Alteryx Macros from www.ChaosReignsWithin.com
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.