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
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