Alternatives and similar repositories for strata_singapore_2015:

Users that are interested in strata_singapore_2015 are comparing it to the libraries listed below

• kickback / time_series_with_python
  ☆11Updated 8 years ago
• dipanjanS / BerkeleyX-CS190.1x-Scalable-Machine-Learning
  This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Be…
  ☆30Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 10 years ago
• ofermend / IPython-notebooks
  Some IPython notebooks I've created...
  ☆29Updated 8 years ago
• wattsteve / pyspark-tutorial
  Tutorial for Deploying Anaconda Cluster and PySpark on top of Red Hat Storage GlusterFS
  ☆8Updated 10 years ago
• bugra / pydata-nyc-2014
  Pydata NYC 2014 Scikit Learn Tutorial
  ☆64Updated 10 years ago
• h2oai / data-science-examples
  A collection of data science examples implemented across a variety of languages and libraries.
  ☆33Updated 9 years ago
• szilard / datascience-latency
  Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…
  ☆20Updated 7 years ago
• jcrist / Dask_PyData_NYC
  Materials for dask talk at PyData NYC
  ☆15Updated 9 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 8 years ago
• ottogroup / kaggle
  Additional files for the Otto Group Challenge hosted by Kaggle
  ☆36Updated 9 years ago
• vmirly / DataScience
  ☆66Updated last year
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• amueller / odsc_east_2016
  ☆26Updated 8 years ago
• ellisonbg / talk-2014-strata-sc
  My talk at Strata 2014 in Santa Clara, CA
  ☆73Updated 10 years ago
• hougs / py-hadoop-tutorial
  Source Material for using Python and Hadoop together
  ☆13Updated 7 years ago
• szilard / dataset-sizes-kdnuggets
  Size of datasets used for analytics based on 10 years of surveys by KDnuggets.
  ☆16Updated 9 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 8 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 6 years ago
• amueller / scikit-learn-interactive-tutorial
  IPython notebooks and data an interactive scikit-learn tutorial.
  ☆53Updated 10 years ago
• amueller / nyu_ml_lectures
  Materials for NYU Machine Learning Guest Lectures
  ☆17Updated 9 years ago
• ivanliu1989 / Driver-Telematics-Analysis
  ☆13Updated 5 years ago
• alteryx / sparkGLM
  An R-like GLM package for Apache Spark
  ☆10Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• jaceklaskowski / docker-spark
  Apache Spark under Docker
  ☆9Updated 8 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago