Alternatives and similar repositories for python-tips:

Users that are interested in python-tips are comparing it to the libraries listed below

• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆612Updated 4 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆320Updated last year
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆443Updated 3 years ago
• gumption / Python_for_Data_Science
  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
  ☆310Updated 4 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆599Updated 3 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆510Updated 7 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆798Updated 4 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆257Updated 6 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,969Updated last year
• svaksha / pythonidae
  Curated decibans of scientific programming resources in Python.
  ☆978Updated last year
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆895Updated 4 years ago
• msr-ds3 / coursework
  summer school coursework
  ☆292Updated 5 months ago
• cs109 / 2015lab1
  ☆213Updated 3 years ago
• robert8138 / python-deliberate-practice
  Deliberate Practice for Learning Python
  ☆550Updated 4 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆325Updated 7 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,582Updated 5 years ago
• josephmisiti / machine-learning-module
  the best machine learning tutorials on the web
  ☆468Updated 13 years ago
• airalcorn2 / Michael-s-Data-Science-Curriculum
  This is the companion curriculum to my guide to becoming a data scientist.
  ☆399Updated 8 months ago
• datalad-datasets / machinelearning-books
  Collection of great (and free) machine learning books
  ☆117Updated 2 years ago
• llSourcell / Data_Science_Interview_Guide
  These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
  ☆247Updated 4 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆233Updated 4 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆325Updated last year
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆515Updated 5 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆904Updated 4 years ago
• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆538Updated 2 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆431Updated 3 years ago
• LearnMachineLearning / the-math-of-intelligence
  List of resources & possible pathway for the Math of Machine Learning and AI.
  ☆406Updated 2 years ago
• machinelearningnanodegree / stanford-cs231
  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…
  ☆259Updated 8 years ago