Scikit-learn Crash Course - Machine Learning Library for Python

Scikit-learn is a free software machine learning library for the Python programming language. Learn how to use it in this crash course.

✏️ Course created by Vincent D. Warmerdam.

❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)

⭐️ Course Contents ⭐️
⌨️ (0:00:00) introduction
⌨️ (0:03:08) introducing scikit-learn
⌨️ (0:34:36) preprocessing
⌨️ (0:53:36) metrics
⌨️ (1:24:49) meta-estimators
⌨️ (1:45:34) human-learn
⌨️ (2:06:17) wrap-up

⭐️ Code ⭐️
💻 Full code: https://github.com/koaning/calm-noteb...
💻 Notebook per section:
🖥 introducing scikit-learn: https://github.com/koaning/calm-noteb...
🖥 preprocessing: https://github.com/koaning/calm-noteb...
🖥 metrics: https://github.com/koaning/calm-noteb...
🖥 meta estimators: https://github.com/koaning/calm-noteb...
🖥 human-learn: https://github.com/koaning/calm-noteb...

⭐️ Other Recources ⭐️
🔗 https://calmcode.io
🔗 scikit-learn docs: https://sklearn.org/index.html
🔗 spaCy course:    • Intro to NLP with spaCy (1): Detectin...  
🔗 PyData Youtube channel:    / pydatatv  
🔗 algorithm whiteboard:    • Rasa Algorithm Whiteboard - Toxic Lan...  

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