Alternatives and similar repositories for data-science-tutorial:

Users that are interested in data-science-tutorial are comparing it to the libraries listed below

• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆127Updated 8 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆108Updated 7 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆309Updated 3 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆321Updated last year
• datalad-datasets / machinelearning-books
  Collection of great (and free) machine learning books
  ☆117Updated 2 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆184Updated 2 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆266Updated 4 years ago
• mmmayo13 / scikit-learn-classifiers
  An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
  ☆102Updated 9 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆158Updated 5 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆281Updated 6 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆222Updated 3 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆50Updated 8 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆177Updated 7 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆325Updated last year
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆137Updated 9 years ago
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated last year
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆79Updated 7 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆90Updated 7 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆86Updated 9 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆325Updated 7 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆247Updated 6 years ago
• vmirly / DataScience
  ☆66Updated last year
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆149Updated 4 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆443Updated 3 years ago