CD2H gitForager

Jo-fai Chow

Login: woobe

Company: H2O.ai

Location: United Kingdom

Bio: Civil Engineer turned Data Scientist

Blog: http://www.jofaichow.co.uk/

Member of

H2O.ai

Repositories

2014_03_11_LondonR: Presentation slides for LondonR meeting.
baseballdatabank: Development for baseball databank, an Open Data collection of historical baseball data
basesball_demo: null
bib: "Blend It Bayes!" Data Mining Toolbox
blenditbayes: Code used in my blog "Blend it like a Bayesian!"
collaborative_blog_posts: Temporary repository for collaborative blog posts
conf2017slides: null
credit_card_demo: A simple machine learning example using credit card default payment data
credit_card_example: null
dai_oxford: null
DataScienceSpCourseNotes: Compiled Notes for all 9 courses in the Coursera Data Science Specialization
dataviz_collection: null
DeepLearnToolbox: Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
deepr: An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
eRum_2018: Materials for H2O workshop at eRum 2018 (http://2018.erum.io/)
euro2016: UEFA Euro 2016 Data, Models and Predictions
footballytics: My Shiny App for Football (Soccer)
ggsports: ggplot2 geoms, themes and scales for sports data visualisation.
gpu_sandbox: null
h2o: h2o = fast statistical, machine learning & math runtime for bigdata
h2o-3: Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
h2o_demo_for_ibm_dsx: H2O Demo for IBM Fast Track Your Data ? Live From Munich
h2o_demos: A collection of H2O demos
h2o_events: null
h2o_exeter_2017: Materials for WISE CDT (Oct 2017)
h2o_experiments: My H2O Experiments
H2O_London_Workshop: null
h2o_sandbox: H2O prototyping and experimentation
h2o_training_2017_10: H2O Training Materials
h2o_training_2018_02: H2O Training Materials
h2o_tutorials: Slides and code examples for H2O tutorials at various events
handyr: Handy functions in R
hire-an-r-programmer: list of R developers
kaggle_santander_product: Code for Kaggle Santander Product Recommendation
kaggle_sfcrime: Repo for Kaggle San Francisco Crime Classification
lime_water: Automatic and Interpretable Machine Learning with H2O and LIME
moneyball: Moneyball Demo (Public Version)
nlp_example: null
odsc_h2o_deep_learning: Materials for ODSC Masterclass Summit H2O Deep Learning Tutorials
odsc_h2o_machine_learning: Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
predictr: Streamlined routines for developing and evaluating predictive models in R.
rApps: Repository for my R (Shiny) web applications.
rCharts: Interactive JS Charts from R
rCharts_chord: null
rCharts_parcoords: experiments with rCharts and d3.js parallel coordinates
rcharts_plugins: Learning how to create rCharts plugins
rCrimemap: This is the next generation of CrimeMap!
rMaps: Interactive Maps from R
R.Pinnacle.API_stable: A stable version of the pinnacle.API package, for accessing the pinnacle API via R
rPlotter: Wrapper functions that make plotting in R a lot easier for beginners.
RSaturday-proposal: A proposal to the R Consortium's Infrastructure Steering Commitee re:community events
rugsmaps: This app is my submission to the visualization contest held by Revolution Analytics.
rugsmaps2: Next generation of RUGSMAPS with higher flexibility to in-cooperate new information from the R community.
scholmd: Learn how to use scholarly markdown
scikit-learn: scikit-learn: machine learning in Python
se_bootcamp: null
shell_scripts: Scripts for setting up various software packages in Ubuntu-based environment.
sparkling-water: Sparkling Water provides H2O functionality inside Spark cluster
sparseFiltering: Sparse Filtering
temp: temporary files
t-shirt: null
useR_2014: Preparation for the R user conference 2014
user2014.github.io: UseR 2014 Web Pages
wc2014: World Cup 2014 Data Analysis and Predictions
wesanderson: A Wes Anderson color palette for R
woobe.github.io: My personal web site (jofaichow.co.uk) hosted on GitHub.
xgboost: Gradient Boosting (GBDT, GBRT or GBM) Library for large-scale and distributed machine learning, on single node, hadoop yarn and more.

Commits To

Repository	Most Recent Commit	# Commits

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.