Alternatives and similar repositories for Python-for-Probability-Statistics-and-Machine-Learning

Users that are interested in Python-for-Probability-Statistics-and-Machine-Learning are comparing it to the libraries listed below

• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆359Updated 3 years ago
• tirthajyoti / Stats-Maths-with-Python
  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
  ☆926Updated 2 years ago
• thomas-haslwanter / statsintro_python
  Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
  ☆873Updated 3 years ago
• matplotlib / AnatomyOfMatplotlib
  Anatomy of Matplotlib -- tutorial developed for the SciPy conference
  ☆1,227Updated 3 years ago
• ipython-books / cookbook-2nd-code
  Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
  ☆736Updated 3 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆325Updated 2 years ago
• hrnbot / Basic-Mathematics-for-Machine-Learning
  The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…
  ☆683Updated 2 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆682Updated 3 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆287Updated 7 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,790Updated 2 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆541Updated 3 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆379Updated 9 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆886Updated 3 years ago
• dformoso / sklearn-classification
  Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
  ☆693Updated 3 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,609Updated 9 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆611Updated 4 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆904Updated 4 years ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆932Updated 2 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆742Updated 4 years ago
• andrewgbruce / statistics-for-data-scientists
  Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
  ☆1,168Updated 2 years ago
• cuttlefishh / python-for-data-analysis
  An introduction to data science using Python and Pandas with Jupyter notebooks
  ☆861Updated 4 years ago
• jcrouser / islr-python
  ☆107Updated 3 years ago
• tdpetrou / Learn-Pandas
  Tutorials on how to use pandas effectively to do data analysis
  ☆1,107Updated 2 years ago
• fonnesbeck / scipy2014_tutorial
  Tutorial: Bayesian Statistical Analysis in Python
  ☆319Updated 6 years ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆412Updated 3 years ago
• justmarkham / pycon-2019-tutorial
  Data Science Best Practices with pandas
  ☆530Updated 5 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆179Updated 7 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆511Updated 7 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆224Updated 4 years ago