Alternatives and similar repositories for teach-data-science-msc-analytics-ceu

Users that are interested in teach-data-science-msc-analytics-ceu are comparing it to the libraries listed below

• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 8 years ago
• WLOGSolutions / retail-segmentation-based-marketing-campaing-in-r-and-h2o
  Showcase for using H2O and R for scoring for marketing campaign in retail
  ☆54Updated 7 years ago
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆119Updated 7 years ago
• HireSmarter / churn201
  Simple employee cost/benefit model with plots. Supports a series of blog entries.
  ☆70Updated 11 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 4 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• szilard / teach-ML-CEU-master-bizanalytics
  Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
  ☆22Updated 6 years ago
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆137Updated 8 years ago
• WinVector / WinVector.github.io
  Viewable pages from WinVector LLC view at: http://winvector.github.io
  ☆23Updated 10 months ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• stoltzmaniac / Medicare
  ☆18Updated 8 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 8 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 9 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• dcl-2017-01 / curriculum
  Draft syllabus for the Data Challenge Lab
  ☆23Updated 8 years ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 7 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 9 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• mtpa / mtpa
  Modeling Techniques in Predictive Analytics with Python and R
  ☆68Updated 10 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• rajshah4 / outliers_shiny
  2D Outlier Analysis using Shiny
  ☆48Updated 3 years ago
• dlab-berkeley / MachineLearningWG
  D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
  ☆66Updated 6 years ago
• WinVector / BigDataRStrata2017
  All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
  ☆63Updated 5 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆35Updated 9 years ago
• AllenDowney / BayesForUndergrads
  Materials for a workshop on developing undergraduate classes on Bayesian statistics.
  ☆47Updated 9 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago