Alternatives and similar repositories for Data-science-design-manual-notebooks

Users that are interested in Data-science-design-manual-notebooks are comparing it to the libraries listed below

• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆120Updated last year
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• Harvard-IACS / 2020-CS109B
  ☆54Updated 5 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆64Updated 4 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆73Updated 7 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆55Updated last year
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated 2 years ago
• DavidMertz / PyTorch-webinar
  Machine Learning with PyTorch tutorials (for Pearson)
  ☆47Updated 4 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 7 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆160Updated 2 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 6 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆111Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• DataForScience / Networks
  Network and Graph Algorithms From Scratch
  ☆112Updated 3 years ago
• amitkaps / applied-machine-learning
  Applied Machine Learning @ http://amitkaps.com/ml
  ☆39Updated 6 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆180Updated 4 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆75Updated 6 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆165Updated last year
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆42Updated 10 months ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆86Updated 7 years ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 7 years ago
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆78Updated 2 years ago