Alternatives and similar repositories for scikit-learn-tutorial

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

• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated 2 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 6 years ago
• FBosler / Medium-Data-Exploration
  Data and Notebook for medium blog post
  ☆20Updated 6 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆111Updated 4 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 5 years ago
• paris-saclay-cds / data-science-workshop-2019
  ☆29Updated 6 years ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 6 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 5 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• COGS18 / Materials
  Materials for Introduction to Python.
  ☆52Updated 7 months ago
• MengtingWan / bittersweet-phd
  useful technical tips I wish I knew earlier in my phd life (latex, python/R visualization, web crawling/scraping, etc.)
  ☆70Updated 6 years ago
• sethjuarez / DeepLearningWithPyTorch
  ☆83Updated 4 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 5 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆81Updated 3 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆65Updated last year
• ameya98 / GeneticAlgorithmsRepo
  Genetic algorithm packages for optimization in Python.
  ☆80Updated 7 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated 6 months ago
• erikbern / uncertainty
  ☆56Updated 7 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆80Updated 8 months ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago