Alternatives and similar repositories for pycon_sg_2016:

Users that are interested in pycon_sg_2016 are comparing it to the libraries listed below

• gabrielspmoreira / static_resources
  ☆77Updated 8 years ago
• sonnylaskar / Competitions
  Competition repository
  ☆21Updated 5 years ago
• analyticsvidhya / knocktober-2016
  Codes related to Knocktober 2016
  ☆23Updated 8 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 9 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆50Updated 8 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 7 years ago
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆56Updated 9 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 8 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆57Updated 6 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆95Updated 7 years ago
• psu4 / Marketing-Mix-Modeling-
  ☆26Updated 8 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆92Updated 7 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 8 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆59Updated 8 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆45Updated 6 years ago
• aayushmnit / Competitions
  Codes written for some competitions
  ☆13Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• arstepanyan / Notes
  Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…
  ☆34Updated 4 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• seifip / udacity-data-analyst-nanodegree
  Project work for the Udacity Data Analyst Nanodegree
  ☆38Updated 7 years ago
• SudalaiRajkumar / NLP
  Generic codes related to NLP
  ☆84Updated 6 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 7 years ago
• vopani / Kaggle_SantanderProductRecommendation
  Santander Product Recommendation competition on Kaggle
  ☆24Updated 8 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• davidventuri / udacity-dand
  Projects for my Udacity Data Analyst Nanodegree
  ☆100Updated 4 years ago
• shree-ranga / DSTakehomeChallenges
  Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.
  ☆10Updated 7 years ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 6 years ago