Alternatives and similar repositories for intro_to_ml

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

• piskvorky / data_science_python
  Source code for the "Practical Data Science in Python" tutorial
  ☆58Updated 10 years ago
• amitkaps / weed
  Analysing Weed Pricing across US - Data Analysis Workshop
  ☆130Updated last month
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 9 years ago
• hunterowens / data-pipelines
  ☆31Updated 8 years ago
• joelgrus / stupid-itertools-tricks-pydata
  code for my "stupid itertools tricks" talk from pydata seattle 2015
  ☆153Updated 9 years ago
• gkamradt / ryd.io
  ☆34Updated 9 years ago
• docmarionum1 / python-data-science-primer
  A primer for data science tools in Python
  ☆56Updated 6 years ago
• wdm0006 / twitter-pandas
  A wrapper around tweepy to produce pandas dataframes for analysis
  ☆75Updated 9 years ago
• thedataincubator / flask-framework
  Basic template for using Flask on Render
  ☆73Updated 2 years ago
• rhiever / python-data-visualization-course
  Course materials for teaching data visualization in Python.
  ☆170Updated 9 years ago
• mikeckennedy / write-pythonic-code-for-better-data-science-webcast
  ☆41Updated 8 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 9 years ago
• sarguido / hands-on-analysis-python
  PyCon 2015
  ☆140Updated 3 years ago
• jseabold / depy
  DePy 2015 Talk
  ☆117Updated 7 years ago
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 10 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 3 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 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
• adamhajari / Introduction-to-Data-Science
  an introduction to Data Science using Python
  ☆30Updated 7 years ago
• iiSeymour / sparkline-nb
  Render sparkline style charts in pandas dataframes
  ☆93Updated 4 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 7 years ago
• ellisonbg / talk-2014-strata-sc
  My talk at Strata 2014 in Santa Clara, CA
  ☆73Updated 11 years ago
• jbwhit / OSCON-2015
  Code for my OSCON 2015 talk
  ☆83Updated 10 years ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 10 years ago
• stitchfix / d3-jupyter-tutorial
  ☆195Updated 4 months ago
• jayfeng1 / hostel_reviews_nltk
  Hostel Reviews analyzed with some intelligence @HotelReviewsBot
  ☆56Updated 9 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• wrobstory / pydataseattle2015
  PyData Seattle 2015: Python Data Bikeshed
  ☆127Updated 10 years ago
• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 8 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago