Alternatives and similar repositories for scikit-learn-videos

Users that are interested in scikit-learn-videos are comparing it to the libraries listed below

• justmarkham / pandas-videos
  Jupyter notebook and datasets from the pandas video series
  ☆2,222Updated last year
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,794Updated 2 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,969Updated last month
• jdwittenauer / ipython-notebooks
  A collection of IPython notebooks covering various topics.
  ☆2,612Updated 4 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,480Updated 2 years ago
• rasbt / pattern_classification
  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
  ☆4,180Updated last year
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆610Updated 4 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆896Updated 4 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆798Updated 4 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,611Updated 9 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆448Updated 4 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,779Updated 2 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆905Updated 4 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆863Updated 4 years ago
• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,335Updated 2 years ago
• rhiever / Data-Analysis-and-Machine-Learning-Projects
  Repository of teaching materials, code, and data for my data analysis and machine learning projects.
  ☆6,339Updated 2 years ago
• agconti / kaggle-titanic
  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…
  ☆910Updated last year
• AllenDowney / ThinkStats2
  Text and supporting code for Think Stats, 2nd Edition
  ☆4,104Updated 5 months ago
• tdpetrou / Learn-Pandas
  Tutorials on how to use pandas effectively to do data analysis
  ☆1,107Updated 2 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,592Updated 5 years ago
• dipanjanS / practical-machine-learning-with-python
  Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveragi…
  ☆2,334Updated last year
• justmarkham / pycon-2018-tutorial
  Using pandas for Better (and Worse) Data Science
  ☆324Updated 6 years ago
• mGalarnyk / Python_Tutorials
  Python tutorials in both Jupyter Notebook and youtube format.
  ☆1,227Updated last month
• justmarkham / scikit-learn-tips
  50 scikit-learn tips
  ☆1,735Updated 2 years ago
• ujjwalkarn / DataSciencePython
  common data analysis and machine learning tasks using python
  ☆5,463Updated last year
• sachinruk / deepschool.io
  Deep Learning tutorials in jupyter notebooks.
  ☆1,811Updated 2 years ago
• dformoso / sklearn-classification
  Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
  ☆696Updated 3 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,614Updated last year
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,799Updated 4 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆516Updated 6 years ago