Alternatives and similar repositories for Interactive_Machine_Learning

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

• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆249Updated 7 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆271Updated 5 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆87Updated 9 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆166Updated 7 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆82Updated 3 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆93Updated 2 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• deniederhut / Slides-SciPyConf-2018
  A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
  ☆134Updated 6 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆111Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• cedrickchee / data-science-notebooks
  Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …
  ☆93Updated 2 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆83Updated 5 years ago
• deepsense-ai / pydatawarsaw-notebooks
  ☆55Updated 3 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 7 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated 5 months ago
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆59Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆49Updated 8 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆226Updated 4 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• jorisvandenbossche / pandas-tutorial
  Material for the pandas tutorial at EuroScipy 2016
  ☆211Updated 8 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆100Updated 2 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated 2 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆126Updated 5 years ago