Alternatives and similar repositories for info490-sp17

Users that are interested in info490-sp17 are comparing it to the libraries listed below

• lcdm-uiuc / info490-sp16
  INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois
  ☆68Updated 9 years ago
• lcdm-uiuc / info490-fa16
  INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois
  ☆52Updated 8 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆228Updated 6 years ago
• savarin / pyconuk-introtutorial
  practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014
  ☆282Updated 4 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆395Updated 6 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• findmyway / Data-Structures-and-Algorithms-in-Python
  my solutions to the exercises in book Data Structures and Algorithms in Python
  ☆77Updated 7 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆290Updated 11 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• cs109 / 2015lab1
  ☆212Updated 4 years ago
• learnml / machine-learning-specialization
  ☆576Updated 7 years ago
• yhyap / machine-learning-coursera
  Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
  ☆223Updated 7 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆317Updated 8 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆102Updated last year
• nick-ulle / 2015-python
  (Winter 2015) Python for Data Mining mini-course.
  ☆33Updated 6 years ago
• profjsb / python-seminar
  Python for Data Science (Seminar Course at UC Berkeley; AY 250)
  ☆331Updated 3 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆234Updated last year
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆518Updated 6 years ago
• yhat / DataGotham2013
  ☆212Updated 10 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆310Updated 3 years ago
• mazefeng / ml
  Implementations of classic Machine Learning algorithms
  ☆191Updated 4 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆279Updated 7 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.
  ☆314Updated 4 years ago
• thedataincubator / ds30
  Data Science in 30 Minutes
  ☆84Updated 9 years ago
• ChangeMyUsername / algorithms-sedgewick-python
  Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
  ☆275Updated 3 years ago