Basic understanding of intro_to_supervised_learning
Familiarity with the intro_to_supervised_learning ecosystem
Ability to build intro_to_supervised_learning projects
Learn how to build predictive models with supervised learning using Python
8.5 hours, 17 lessons
Instructed by Josef Macera
Join our Python course today! Designed for beginners, our course will teach you the fundamentals of Python in a practical and engaging way. With the guidance of our experienced instructors and the support of a vibrant community, you'll develop the skills you need to pursue a career in tech.
Learn the basics of supervised learning and how it applies to the field of data science
Understand how to build and evaluate a predictive model
Master the use of popular Python libraries such as Scikit-Learn and Pandas for data analysis and model building
Explore different types of models such as regression, k-nearest neighbors, decision trees and random forests
Learn how to optimize a model and avoid overfitting
Discover how to work with real-world datasets and choose the best model for a given problem
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