Alternatives and similar repositories for 2018-cs109a

Users that are interested in 2018-cs109a are comparing it to the libraries listed below

• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• davidventuri / udacity-dand
  Projects for my Udacity Data Analyst Nanodegree
  ☆104Updated 5 years ago
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆110Updated 7 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• parrt / msds501
  Course notes for MSDS501, computational boot camp, at the University of San Francisco
  ☆125Updated 4 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 7 months ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆180Updated 4 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆144Updated 5 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 7 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆82Updated 9 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆129Updated 4 years ago
• cdeweyx / Hitchhikers-Guide-Machine-Learning
  Guide explaining and implementing fundamental machine learning algorithms in Python
  ☆172Updated 7 years ago
• cs109 / 2015lab1
  ☆214Updated 4 years ago
• jayinai / ml-cheatsheet
  A constantly updated python machine learning cheatsheet
  ☆168Updated 8 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆288Updated 2 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 7 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 6 years ago
• parrt / msds692
  MSAN692 Data Acquisition
  ☆129Updated 4 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆168Updated last year
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• GalvanizeDataScience / self-study-resources
  DSI Self Study Resources
  ☆18Updated 6 years ago
• bgweber / StartupDataScience
  ☆295Updated 6 years ago
• DeltaAnalytics / machine_learning_resources
  Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…
  ☆25Updated 7 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆457Updated 5 years ago
• data-8 / data8assets
  Assets for data8.org
  ☆111Updated last year