Alternatives and similar repositories for NoteBooks-Statistics-and-MachineLearning

Users that are interested in NoteBooks-Statistics-and-MachineLearning are comparing it to the libraries listed below

• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• datalad-datasets / machinelearning-books
  Collection of great (and free) machine learning books
  ☆118Updated 3 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆448Updated 4 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆170Updated last year
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 5 years ago
• cs109 / 2015lab1
  ☆215Updated 4 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆284Updated 9 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆182Updated 8 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆328Updated 2 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆259Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆166Updated 7 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• gumption / Python_for_Data_Science
  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
  ☆318Updated 5 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 7 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆281Updated 7 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆53Updated 9 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 9 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆143Updated 7 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆272Updated 5 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆609Updated 5 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆915Updated 5 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆324Updated 8 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆249Updated 7 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆620Updated 4 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆313Updated 4 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 9 years ago
• eclarson / DataMiningNotebooks
  This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given link…
  ☆182Updated 4 years ago