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.

4.5

55 Lessons

27h

Join 2.8 million developers at

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, classification, and clustering, using scikit-learn’s user-friendly API. The course also introduces advanced topics such as ensemble methods, model interpretation, and hyperparameter optimization. After taking this course, you’ll gain hands-on experience in applying machine learning techniques to solve diverse data-driven problems. You’ll also be equipped with the expertise to confidently leverage scikit-learn for a wide range of machine learning applications in industry as well as academia.

This comprehensive course is designed to develop the knowledge and skills to effectively utilize the scikit-learn library in Pyt...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

An understanding of data preprocessing steps

Learning Roadmap

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Course Author:

Arthur Mello

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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