Alternatives and similar repositories for Practical_Statistics_for_Data_Scientists:

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

• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 6 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆83Updated 2 years ago
• rasbt / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆16Updated 6 years ago
• TomAugspurger / pandas-head-to-tail
  ☆86Updated 6 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• robinsones / Data-Science-Freelancers
  An analysis of 93,000+ data science freelancers
  ☆57Updated 8 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆54Updated 4 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆64Updated 9 years ago
• mpstewart1 / Articles
  Miscellaneous repository for code content related to my Medium posts.
  ☆8Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• jupyterlab / scipy2019-jupyterlab-tutorial
  Scipy 2019 JupyterLab tutorial
  ☆51Updated 5 years ago
• masinoa / probability
  Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis
  ☆26Updated 2 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• ljanastas / UC_Berkeley-Applied-Machine-Learning
  Materials for Applied Machine Learning Taught in Python
  ☆36Updated 2 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• jasdumas / ml-flashcards
  Extracting data from Twitter for #machinelearningflashcards
  ☆44Updated 2 years ago
• AllenDowney / ComplexityScience
  Repository for a workshop on Complexity Science
  ☆39Updated 3 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 6 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 5 years ago