Alternatives and similar repositories for ml-workshop:

Users that are interested in ml-workshop are comparing it to the libraries listed below

• thedataincubator / pydata2016
  A couple projects using scikit-learn illustrating project decision making.
  ☆15Updated 8 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years ago
• gkamradt / Zipfian-GSchool
  12 Week Data Science Immersive
  ☆27Updated 9 years ago
• wimlds / election-data-hackathon
  2016 Election Data Hackathon, Bay Area WiMLDS
  ☆18Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• llSourcell / How_to_Simplify_Your_Data-LIVE-
  How_to_Simplify_Your_Data(LIVE)
  ☆13Updated 8 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 9 years ago
• DistrictDataLabs / machine-learning
  Code & Data for Introduction to Machine Learning with Scikit-Learn
  ☆81Updated 6 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• kickback / time_series_with_python
  ☆11Updated 8 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 7 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 9 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• gggdomi / keras-workshop
  Supporting documents for an introduction to Keras workshop at Franceisai event
  ☆13Updated 8 years ago
• DistrictDataLabs / minimum-entropy
  Minimum Entropy is a DDL hosted question/answer site for beginners who need answers to Data Science questions.
  ☆17Updated 8 years ago
• rouseguy / Optimization_in_Python
  Tutorial on "Modern Optimization Methods in Python"
  ☆18Updated 9 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 9 years ago
• ajschumacher / gadsdc
  materials for General Assembly Data Science DC course
  ☆81Updated 9 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• drivendata / boxplots-for-education-1st-place
  ☆14Updated 10 years ago
• ellisonbg / talk-2014-strata-sc
  My talk at Strata 2014 in Santa Clara, CA
  ☆73Updated 11 years ago
• rhiever / webstep-sklearn-quickstart
  Scikit-learn quickstart tutorial for Webstep
  ☆18Updated 7 years ago
• thoppe / today-AI-learned
  Training a classifier to reddit's TIL to find new things on Wikipedia
  ☆35Updated 9 years ago
• dsaber / py-viz-blog
  Code for Pythonic visualization blog post
  ☆40Updated 7 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• fastforwardlabs / ldaworkshop
  LDA workshop presented by Fast Forward Labs
  ☆15Updated 5 years ago