Alternatives and similar repositories for Applied-Predictive-Modeling-with-Python

Users that are interested in Applied-Predictive-Modeling-with-Python are comparing it to the libraries listed below

• jcrouser / islr-python
  ☆110Updated 4 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 5 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆312Updated 5 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆165Updated last year
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆226Updated 4 years ago
• cs109 / 2015lab1
  ☆214Updated 4 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆107Updated 8 years ago
• cmawer / pycon-2017-eda-tutorial
  Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
  ☆237Updated 3 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆182Updated 8 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 9 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆328Updated 2 years ago
• justmarkham / pycon-2018-tutorial
  Using pandas for Better (and Worse) Data Science
  ☆326Updated 6 years ago
• justmarkham / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆39Updated 9 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆288Updated 8 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆456Updated 5 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 6 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆357Updated 5 years ago
• dataquestio / loan-prediction
  Predict which loans will be foreclosed on.
  ☆224Updated 2 years ago