Alternatives and similar repositories for DAT3

Users that are interested in DAT3 are comparing it to the libraries listed below

• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆617Updated 4 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆319Updated 8 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆912Updated 5 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 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.
  ☆317Updated 5 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,593Updated 6 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆800Updated 4 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago
• uwescience / datasci_course_materials
  Public repository for course materials for the Data Science at Scale Specialization at Coursera
  ☆924Updated 4 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• cs109 / 2015lab1
  ☆214Updated 4 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,982Updated 6 months ago
• cs109 / 2015
  Public material for CS109
  ☆1,486Updated 2 years ago
• gkamradt / Lessons-Learned-Data-Science-Interviews
  Lessons learned the hard way through over 30+ data science interviews
  ☆229Updated 5 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 5 years ago
• sux13 / DataScienceSpCourseNotes
  Compiled Notes for all 9 courses in the Coursera Data Science Specialization
  ☆772Updated 3 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆233Updated last year
• datasciencemasters / data
  Open Data Sources
  ☆515Updated 7 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,784Updated 2 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆366Updated 8 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆518Updated 6 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆609Updated 5 years ago
• corynissen / foodborne_classifier
  The classifier used in the http://foodborne.smartchicagoapps.org/ application.
  ☆239Updated 8 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,599Updated 9 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆281Updated 8 years ago
• learnml / machine-learning-specialization
  ☆575Updated 7 years ago
• robert8138 / python-deliberate-practice
  Deliberate Practice for Learning Python
  ☆549Updated 7 months ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,620Updated last year
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,718Updated 10 years ago
• ben519 / MLPB
  Machine Learning Problem Bible | Problem Set Here >>
  ☆714Updated 6 years ago