Alternatives and similar repositories for mdst-getstarted

Users that are interested in mdst-getstarted are comparing it to the libraries listed below

• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆543Updated 2 years ago
• ucsd-edx / CSE255-DSE230
  Public page for CSE255/DSE230 Spring 2017 (now made private)
  ☆1Updated 8 years ago
• MichiganDataScienceTeam / 2018-tutorials
  MDST Tutorial Series
  ☆28Updated 6 years ago
• maxwshen / iap-appbml
  Applied Probabilistic Programming & Bayesian Machine Learning (MIT IAP 2017)
  ☆33Updated 8 years ago
• cw25 / mids_head_start
  Resources for coming up to speed on everything necessary to tackle the MIDS curriculum
  ☆46Updated 6 years ago
• mike-bowles / hdDeepLearningStudy
  Code etc for Hacker Dojo Deep Learning Study Group
  ☆292Updated last year
• pimentel / deep_learning_papers
  A place to collect papers that are related to deep learning and computational biology
  ☆186Updated 9 years ago
• acbraith / CSML_notes
  UCL MSc Computational Statistics and Machine Learning Revision Notes
  ☆287Updated 7 years ago
• floydwch / kaggle-cli
  (Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.
  ☆679Updated 7 years ago
• ben519 / MLPB
  Machine Learning Problem Bible | Problem Set Here >>
  ☆714Updated 5 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆223Updated 2 years ago
• harrysouthworth / gbm
  Gradient boosted models
  ☆105Updated 10 years ago
• lcdm-uiuc / info490-sp16
  INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois
  ☆68Updated 9 years ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆402Updated 7 years ago
• jstjohn / IntroToStatisticalLearningR-
  Work on Introduction to Statistical Learning
  ☆121Updated 9 years ago
• h2oai / h2o-meetups
  Presentations from H2O meetups & conferences by the H2O.ai team
  ☆410Updated 2 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆290Updated 11 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• bbalasub1 / glmnet_python
  ☆204Updated last year
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated last year
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 6 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆227Updated 4 months ago
• Laurae2 / Laurae
  Advanced High Performance Data Science Toolbox for R by Laurae
  ☆205Updated 8 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,392Updated 7 years ago
• GalvanizeOpenSource / stats-shortcourse
  The statistics short course is both a resource and survey of the areas of probability and statistics that are foundational for the data s…
  ☆42Updated 5 years ago
• ttvand / Facebook-V
  Cleaned code of the winning submission of the Kaggle Recruiting Competition
  ☆123Updated 6 years ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆305Updated 10 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• h2oai / deepwater
  Deep Learning in H2O using Native GPU Backends
  ☆283Updated 7 years ago
• greenelab / deep-review
  A collaboratively written review paper on deep learning, genomics, and precision medicine
  ☆1,263Updated 2 years ago