jdwittenauer / ipython-notebooks

Related projects ⓘ

Alternatives and complementary repositories for ipython-notebooks

• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,962Updated 10 months ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆613Updated 4 years ago
• rasbt / pattern_classification
  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
  ☆4,150Updated 11 months ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,769Updated last year
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,786Updated 4 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,579Updated 5 years ago
• rasbt / python-machine-learning-book
  The "Python Machine Learning (1st edition)" book code repository and info resource
  ☆12,276Updated 7 months ago
• ujjwalkarn / DataSciencePython
  common data analysis and machine learning tasks using python
  ☆5,275Updated 7 months ago
• rushter / data-science-blogs
  A curated list of data science blogs
  ☆6,318Updated 5 months ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,592Updated 8 years ago
• amitkaps / hackermath
  Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
  ☆1,445Updated 6 years ago
• alrojo / tensorflow-tutorial
  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
  ☆1,946Updated 8 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆895Updated 4 years ago
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆576Updated 9 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆899Updated 4 years ago
• fastai / courses
  fast.ai Courses
  ☆5,612Updated 3 months ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,765Updated last year
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆514Updated 5 years ago
• markdregan / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PyMC3)
  ☆2,485Updated 7 years ago
• justmarkham / scikit-learn-videos
  Jupyter notebooks from the scikit-learn video series
  ☆3,675Updated 8 months ago
• andersbll / deeppy
  Deep learning in Python
  ☆1,380Updated 3 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,477Updated last year
• fchollet / keras-resources
  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
  ☆3,255Updated 9 months ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,607Updated 5 months ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆974Updated 6 years ago
• chaconnewu / free-data-science-books
  Free resources for learning data science
  ☆2,920Updated 5 months ago
• jrjohansson / scientific-python-lectures
  Lectures on scientific computing with python, as IPython notebooks.
  ☆3,504Updated last year
• leriomaggio / deep-learning-keras-tensorflow
  Introduction to Deep Neural Networks with Keras and Tensorflow
  ☆2,948Updated last year
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆508Updated 7 years ago