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
  ☆198Updated 8 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 2 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆180Updated 7 years ago
• datalad-datasets / machinelearning-books
  Collection of great (and free) machine learning books
  ☆117Updated 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
  ☆164Updated 10 months ago
• cs109 / 2015lab1
  ☆213Updated 3 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 8 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆325Updated last year
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆164Updated 6 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆257Updated 7 years ago
• cmawer / pycon-2017-eda-tutorial
  Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
  ☆236Updated 2 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.
  ☆311Updated 4 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 4 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆516Updated 6 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆608Updated 4 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆213Updated 6 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆311Updated 3 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆60Updated 9 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆905Updated 4 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆267Updated 5 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 9 years ago
• mGalarnyk / DSE200_Python_for_Data_Analysis
  Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
  ☆100Updated 8 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆513Updated 7 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆610Updated 4 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆432Updated 3 years ago