Scikit-Learn for Machine Learning

Learn how to build and evaluate machine learning models using scikit-learn, from data preprocessing to model selection and evaluation.

Intermediate

55 Lessons

27h

Certificate of Completion

Learn how to build and evaluate machine learning models using scikit-learn, from data preprocessing to model selection and evaluation.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

79 Playgrounds
6 Quizzes

This course includes

79 Playgrounds
6 Quizzes

Course Overview

This comprehensive course is designed to develop the knowledge and skills to effectively utilize the scikit-learn library in Python for machine learning tasks. It is an excellent resource to help you develop practical machine learning applications using Python and scikit-learn. In this course, you’ll learn fundamental concepts such as supervised and unsupervised learning, data preprocessing, and model evaluation. You’ll also learn how to implement popular machine learning algorithms, including regression, ...Show More

What You'll Learn

An understanding of data preprocessing steps

Proficiency in model selection and evaluation

Implementation level skills for designing supervised learning algorithms

An insight into unsupervised learning techniques

Working knowledge of hyperparameter tuning and optimization

What You'll Learn

An understanding of data preprocessing steps

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Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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