Alternatives and similar repositories for mglearn

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

• justmarkham / pycon-2018-tutorial
  Using pandas for Better (and Worse) Data Science
  ☆323Updated 6 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• justmarkham / pycon-2019-tutorial
  Data Science Best Practices with pandas
  ☆531Updated 5 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆324Updated 8 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆225Updated 4 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆217Updated 2 years ago
• elegant-scipy / notebooks
  The compiled, clean (not run) Jupyter notebooks for Elegant SciPy
  ☆112Updated 5 years ago
• PacktPublishing / Mastering-Machine-Learning-with-scikit-learn-Second-Edition
  Mastering Machine Learning with scikit learn Second Edition, published by Packt
  ☆81Updated 4 years ago
• PacktPublishing / Practical-Time-Series-Analysis
  Practical Time-Series Analysis, published by Packt
  ☆409Updated 2 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆164Updated 6 years ago
• Jupyter-contrib / jupyter_nbextensions_configurator
  A jupyter notebook serverextension providing config interfaces for nbextensions.
  ☆986Updated last year
• bokeh / bokeh-notebooks
  Interactive Web Plotting with Bokeh in IPython notebook
  ☆734Updated last year
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆616Updated 3 months ago
• pydata / pydata-cookbook
  PyData Cookbook Project
  ☆210Updated 7 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆198Updated 7 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• ipython-books / minibook-2nd-code
  Code of the IPython Minibook, 2nd edition (2015)
  ☆346Updated 4 years ago
• TwistedHardware / mltutorial
  Machine Learning Tutorial in IPython Notebooks
  ☆131Updated 3 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 8 years ago
• StephenElston / ExploringDataWithPython
  Methods of data exploration and visualization using Python.
  ☆141Updated 5 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 5 years ago
• pydata / parallel-tutorial
  Parallel computing in Python tutorial materials
  ☆306Updated 6 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆353Updated 4 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆168Updated 4 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 9 years ago