Alternatives and similar repositories for examples-in-python:

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

• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆219Updated 3 years ago
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated last year
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆247Updated 6 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆510Updated 7 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆127Updated 8 years ago
• PacktPublishing / Building-Machine-Learning-Projects-with-TensorFlow
  Building Machine Learning Projects with TensorFlow by Packt
  ☆266Updated 2 years ago
• oreillymedia / doing_data_science
  This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
  ☆488Updated 2 years ago
• Hezi-Resheff / Oreilly-Learning-TensorFlow
  ☆407Updated 5 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆567Updated last year
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆149Updated 4 years ago
• fonnesbeck / scipy2014_tutorial
  Tutorial: Bayesian Statistical Analysis in Python
  ☆316Updated 5 years ago
• elegant-scipy / elegant-scipy
  1st Edition of Elegant SciPy (O'Reilly Publishers)
  ☆556Updated last month
• PyCon / 2017-slides
  Slides and talk assets from PyCon 2017
  ☆426Updated 7 years ago
• cdeweyx / Hitchhikers-Guide-Machine-Learning
  Guide explaining and implementing fundamental machine learning algorithms in Python
  ☆170Updated 6 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆515Updated 5 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆99Updated last year
• shian48263 / dataquest
  ☆48Updated 8 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆394Updated 5 years ago
• kjam / data-pipelines-course
  Course materials for my data pipeline video course with O'Reilly
  ☆195Updated 7 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆320Updated last year
• enthought / Numpy-Tutorial-SciPyConf-2016
  Default Repo description from terraform module
  Updated 2 years ago
• PacktPublishing / Python-Machine-Learning-By-Example
  Python Machine Learning By Example, published by Packt
  ☆118Updated 2 years ago
• PacktPublishing / Mastering-Python-Data-Analysis
  Mastering-Python-Data-Analysis
  ☆82Updated 2 years ago
• PacktPublishing / Machine-Learning-Algorithms
  Machine Learning Algorithms, published by Packt
  ☆89Updated 2 years ago
• PacktPublishing / Principles-of-Data-Science
  Principles of Data Science by Packt
  ☆74Updated 2 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆443Updated 3 years ago
• rlabbe / ThinkBayes
  Jupyter Notebooks derived from Allen Downey's book Think Bayes.
  ☆395Updated 8 years ago
• jesstess / oreilly-intermediate-python
  Exercises for O'Reilly's Intermediate Python video series
  ☆172Updated 5 years ago
• oldclesleycode / deep-learning-python
  Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
  ☆95Updated 7 years ago