Alternatives and similar repositories for stats_and_probability

Users that are interested in stats_and_probability are comparing it to the libraries listed below

• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆167Updated last year
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆106Updated 3 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• dataquestio / data-science-blogs
  A curated list of data science blogs
  ☆44Updated 6 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 years ago
• mGalarnyk / DSE200_Python_for_Data_Analysis
  Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
  ☆101Updated 9 years ago
• adeshpande3 / Pandas-Tutorial
  Tutorial on Using Pandas
  ☆84Updated 8 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 9 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 9 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆42Updated 7 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 6 years ago
• jmportilla / data-science-blogs
  A curated list of data science blogs
  ☆22Updated 9 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• WillKoehrsen / emissions-explorer
  Data Visualization Application created for Hack CWRU V
  ☆18Updated 7 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆141Updated 7 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆60Updated 9 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆64Updated 11 years ago
• gabrieltseng / datascience-projects
  A collection of personal data science projects
  ☆58Updated last year
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 7 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• MridulS / pydata-networkx
  [Archived! Check out http://ericmjl.github.io/Network-Analysis-Made-Simple/] A short tutorial on network analysis using Game of Thrones, …
  ☆69Updated 5 years ago
• StephenElston / ExploringDataWithPython
  Methods of data exploration and visualization using Python.
  ☆146Updated 6 years ago
• vi3k6i5 / pandas_basics
  basic pandas tutorials
  ☆52Updated 8 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆81Updated 9 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 9 years ago
• mGalarnyk / DataScienceInterview
  Interview stuff for friends
  ☆84Updated 2 years ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆30Updated 7 years ago