This course aims to teach learners how to use the Scikit-learn machine learning library for Python. By the end of the course, students will be able to preprocess data, apply various metrics, work with meta-estimators, and utilize the human-learn module. The course employs a hands-on approach with practical coding examples provided in each section. This crash course is designed for individuals interested in machine learning and Python programming, particularly those looking to enhance their skills in using the Scikit-learn library.
Overview
Syllabus
) introduction.
) introducing scikit-learn.
) preprocessing.
) metrics.
) meta-estimators.
) human-learn.
) wrap-up.
Taught by
freeCodeCamp.org
