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.
⭐️ 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-notebooks
💻 Notebook per section:
🖥 introducing scikit-learn: https://github.com/koaning/calm-notebooks/blob/master/scikit-learn/scikit-learn.ipynb
🖥 preprocessing: https://github.com/koaning/calm-notebooks/blob/master/scikit-prep/scikit-prepare.ipynb
🖥 metrics: https://github.com/koaning/calm-notebooks/blob/master/scikit-metrics/scikit-metrics.ipynb
🖥 meta estimators: https://github.com/koaning/calm-notebooks/blob/master/scikit-meta/scikit-meta.ipynb
🖥 human-learn: https://github.com/koaning/calm-notebooks/blob/master/human-learn/human-learn.ipynb
⭐️ Other Recources ⭐️
🔗 https://calmcode.io
🔗 scikit-learn docs: https://sklearn.org/index.html
🔗 spaCy course: https://www.youtube.com/watch?v=WnGPv6HnBok&list=PLBmcuObd5An559HbDr_alBnwVsGq-7uTF&ab_channel=Explosion
🔗 PyData Youtube channel: https://www.youtube.com/user/PyDataTV
🔗 algorithm whiteboard: https://www.youtube.com/watch?v=Czto6GzJah8&list=PL75e0qA87dlG-za8eLI6t0_Pbxafk-cxb&index=32&ab_channel=Rasa
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp