Alternatives and similar repositories for sklearn-classification

Users that are interested in sklearn-classification are comparing it to the libraries listed below

• WillKoehrsen / Machine-Learning-Projects
  Machine Learning Experiments and Work
  ☆654Updated 2 years ago
• dformoso / deeplearning-mindmap
  A mindmap summarising Deep Learning concepts.
  ☆1,704Updated 6 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆328Updated 2 years ago
• DustinAlandzes / machine-learning-with-python-cookbook-notes
  (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
  ☆288Updated 2 years ago
• StephenElston / ExploringDataWithPython
  Methods of data exploration and visualization using Python.
  ☆142Updated 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…
  ☆2,351Updated last year
• mrdbourke / your-first-kaggle-submission
  How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
  ☆223Updated last year
• aikho / awesome-feature-engineering
  A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
  ☆596Updated 6 years ago
• ccniuj / python_data_science_and_machine_learning_bootcamp
  Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
  ☆225Updated 8 years ago
• maykulkarni / Machine-Learning-Notebooks
  Machine Learning notebooks for refreshing concepts.
  ☆527Updated 4 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• krasserm / machine-learning-notebooks
  Stanford Machine Learning course exercises implemented with scikit-learn
  ☆348Updated 4 years ago
• WillKoehrsen / machine-learning-project-walkthrough
  An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all…
  ☆1,218Updated 2 years ago
• justmarkham / pycon-2019-tutorial
  Data Science Best Practices with pandas
  ☆532Updated 5 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆435Updated 3 years ago
• madhug-nadig / Machine-Learning-Algorithms-from-Scratch
  Implementing machine learning algorithms from scratch.
  ☆385Updated 4 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• cmawer / pycon-2017-eda-tutorial
  Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
  ☆237Updated 3 years ago
• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆660Updated 5 years ago
• datasciencescoop / Data-Visualization
  Data Visualization with Python
  ☆430Updated 5 years ago
• edyoda / data-science-complete-tutorial
  For extensive instructor led learning
  ☆1,816Updated 2 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,805Updated 2 years ago
• firmai / business-machine-learning
  A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employ…
  ☆801Updated last year
• Benlau93 / Machine-Learning-by-Andrew-Ng-in-Python
  Documenting my python implementation of Andrew Ng's Machine Learning course
  ☆312Updated 6 years ago
• dmitriy-kisil / DataCamp_Solutions_Python
  My solutions to DataCamp projects (now only Python)
  ☆154Updated 6 years ago
• datasciencescoop / Data-Science-Tutorials
  Data Science Tutorials
  ☆542Updated 2 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 8 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 7 years ago
• justmarkham / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆39Updated 9 years ago
• justmarkham / pycon-2018-tutorial
  Using pandas for Better (and Worse) Data Science
  ☆325Updated 6 years ago