YoVDO

Scikit-learn Crash Course - Machine Learning Library for Python

Offered By: freeCodeCamp

Tags

scikit-learn Courses Machine Learning Courses Data Preprocessing Courses

Course Description

Overview

Dive into a comprehensive 2-3 hour crash course on Scikit-learn, the powerful machine learning library for Python. Explore key concepts including introducing Scikit-learn, preprocessing techniques, metrics evaluation, meta-estimators, and the human-learn approach. Follow along with provided code examples and Jupyter notebooks for each section, enhancing your practical understanding. Gain valuable insights from additional resources such as official documentation, related courses, and algorithm whiteboards to further expand your machine learning knowledge.

Syllabus

) introduction.
) introducing scikit-learn.
) preprocessing.
) metrics.
) meta-estimators.
) human-learn.
) wrap-up.


Taught by

freeCodeCamp.org

Related Courses

Genomic Data Science and Clustering (Bioinformatics V)
University of California, San Diego via Coursera
用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera
Data Mining Project
University of Illinois at Urbana-Champaign via Coursera
Advanced Business Analytics Capstone
University of Colorado Boulder via Coursera
Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法
Tsinghua University via edX