Alternatives and similar repositories for ml-workshop-1-of-4:

Users that are interested in ml-workshop-1-of-4 are comparing it to the libraries listed below

• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆142Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆127Updated 3 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 2 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆247Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 7 years ago
• jcrouser / islr-python
  ☆108Updated 3 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 5 years ago
• pdeguzman96 / data_cleaning_workshop
  Created the contents of this repo originally for a workshop I gave at UCLA
  ☆112Updated 5 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆271Updated 8 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆320Updated last year
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆53Updated 2 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆119Updated 4 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆151Updated 4 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆493Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆158Updated 5 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆219Updated 3 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆82Updated 2 years ago
• alexhuang1117 / Data-Science-Portfolio
  A Portfolio of my Data Science Projects
  ☆182Updated 5 years ago
• pjkowalczyk / ODSC_StoredDataStories
  Materials (code & data) for the ODSC East 2020 Virtual Conference workshop: 'Building Data Narratives: An End-to-End Machine Learning Pra…
  ☆11Updated 4 years ago
• knathanieltucker / data-science-foundations
  ☆86Updated 2 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆76Updated 2 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆161Updated 4 years ago