Alternatives and similar repositories for Data_Mining_Cup_2016

Users that are interested in Data_Mining_Cup_2016 are comparing it to the libraries listed below

• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• andland / libFMexe
  libFM R package
  ☆26Updated 9 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• madrury / boosting-presentation
  Presentation on Gradient Boosting
  ☆13Updated 8 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• mlandry22 / kaggle
  Public Kaggle Code and Info
  ☆43Updated 9 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 3 months ago
• RAMitchell / xgb-bias-variance
  ☆14Updated 6 years ago
• Keiku / kaggle-airbnb-recruiting-new-user-bookings
  2nd Place Solution in Kaggle Airbnb New User Bookings competition
  ☆129Updated 9 years ago
• google / amss
  ☆50Updated 7 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 8 years ago
• amunategui / SimpleEnsembleBlending
  Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)
  ☆11Updated 11 years ago
• jdwilson4 / Regression-Analysis
  This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and…
  ☆19Updated 7 years ago
• mb706 / automlr
  ☆26Updated 7 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 5 months ago
• softwaredeng / inTrees
  inTrees package
  ☆39Updated last year
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• lrouviere / AGB
  These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
  ☆17Updated 7 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• szilard / GBM-adv-workshop-Bp19
  Advanced GBM Workshop - Budapest, Nov 2019
  ☆12Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 8 years ago
• owenzhang / Kaggle-AmazonChallenge2013
  my public kaggle code
  ☆79Updated 11 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆256Updated 7 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• jphall663 / GWU_rml
  ☆38Updated 4 months ago