Charlie H's repositories
statistical-rethinking-1
Solutions for the practice problems
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
causal-inference-tutorial
Repository with code and slides for a tutorial on causal inference.
causaleffect
:exclamation: This is a read-only mirror of the CRAN R package repository. causaleffect — Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models
causality
Tools for causal analysis
CRF
R package for Conditional Random Fields
DBDA2Estan
Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
golf
This repository contains Stan implementation of A Probability Model for Golf Putting by Gelman and Nolan discussed in this paper: http://stat.columbia.edu/~gelman/research/published/golf.pdf
GRID
GSOD(R) Interpolated Data
gsoc2017
R project in Google Summer of Code 2017
hello-world
github tutorial from https://guides.github.com/activities/hello-world/
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
kod
My personal code
kruschke-doing_bayesian_data_analysis
John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS
LSTM-Time-Series-Analysis
Using LSTM network for time series forecasting
LSTM_example
Use an LSTM to predict a sine wave with noise added.
meetups
Presentations from meetups and conferences
networkx
Official NetworkX source code repository.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
statistical-rethinking
Notebooks containing R code from Richard McElreath's Statistical Rethinking
Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Thesis_work
Work for my thesis using random forest proximity matrices to generate historical analogies.
traffic-prediction
Predict traffic flow with LSTM
traffic-prediction-1
Traffic Prediction using LSTM method.
webinars
Code and slides for RStudio webinars