Alternatives and similar repositories for Black-Friday:

Users that are interested in Black-Friday are comparing it to the libraries listed below

• amunategui / SimpleEnsembleBlending
  Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)
  ☆11Updated 10 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 9 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• vopani / AnalyticsVidhya_SmartRecruit
  The Smart Recruit hackathon on AnalyticsVidhya
  ☆17Updated 8 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• HireSmarter / churn201
  Simple employee cost/benefit model with plots. Supports a series of blog entries.
  ☆70Updated 10 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• minimaxir / clickbait-cluster
  Code + Jupyter Notebooks for Visualizing Clusters of Clickbait Headlines Using Spark, Word2vec, and Plotly
  ☆47Updated 4 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆27Updated 8 years ago
• analyticsvidhya / knocktober-2016
  Codes related to Knocktober 2016
  ☆23Updated 8 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• trestletech / Sermon-Sentiment-Analysis
  Code used to compare sentiments of various sermons
  ☆24Updated 12 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 7 years ago
• blendo-app / ClickstreamAnalysis
  Analyzing Clickstream Data using Markov Chains and data mining SPACE algorithm
  ☆29Updated 6 years ago
• psu4 / Marketing-Mix-Modeling-
  ☆26Updated 9 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
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• analyticsvidhya / The_Smart_Recruits
  ☆9Updated 8 years ago
• jerryaoverton / business-model-simulation
  ☆20Updated 7 years ago
• woobe / wc2014
  World Cup 2014 Data Analysis and Predictions
  ☆15Updated 9 years ago
• sureshgorakala / Text-Mining
  Classifying documents into categories
  ☆18Updated 7 years ago
• wimlds / election-data-hackathon
  2016 Election Data Hackathon, Bay Area WiMLDS
  ☆18Updated 8 years ago
• okugami79 / sentiment140
  R package for sentiment text analysis
  ☆21Updated 9 years ago
• minimaxir / yelp-review-analysis
  Repository containing script on how I processed and charted Yelp data.
  ☆29Updated 10 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• rasbt / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆16Updated 6 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago