Alternatives and similar repositories for ipython-notebooks

Users that are interested in ipython-notebooks are comparing it to the libraries listed below

• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆609Updated 5 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,807Updated 2 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,982Updated 6 months ago
• amitkaps / hackermath
  Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
  ☆1,459Updated 8 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆898Updated 5 years ago
• ujjwalkarn / DataSciencePython
  common data analysis and machine learning tasks using python
  ☆5,659Updated last year
• justmarkham / scikit-learn-videos
  Jupyter notebooks from the scikit-learn video series
  ☆3,758Updated last year
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆912Updated 5 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆800Updated 4 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,486Updated 2 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,787Updated 2 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆866Updated 5 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,593Updated 6 years ago
• rasbt / pattern_classification
  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
  ☆4,206Updated 2 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,814Updated 5 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,598Updated 9 years ago
• tdpetrou / Learn-Pandas
  Tutorials on how to use pandas effectively to do data analysis
  ☆1,111Updated 3 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,620Updated last year
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆518Updated 6 years ago
• rhiever / Data-Analysis-and-Machine-Learning-Projects
  Repository of teaching materials, code, and data for my data analysis and machine learning projects.
  ☆6,555Updated 2 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,718Updated 10 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆617Updated 4 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆972Updated 7 years ago
• jrjohansson / scientific-python-lectures
  Lectures on scientific computing with python, as IPython notebooks.
  ☆3,605Updated 2 years ago
• zacharski / pg2dm-python
  ☆879Updated 5 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• sachinruk / deepschool.io
  Deep Learning tutorials in jupyter notebooks.
  ☆1,812Updated 2 years ago
• scipy-lectures / scientific-python-lectures
  Tutorial material on the scientific Python ecosystem
  ☆3,176Updated last week
• lukaemon / Coursera-ML-AndrewNg
  use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
  ☆922Updated 7 years ago
• alrojo / tensorflow-tutorial
  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
  ☆1,959Updated 9 years ago