Scikit-Learn to Solve Regression Machine Learning Problems
By Coursera
on Coursera
· Data Science
About This Course
Hello everyone and welcome to this new hands-on project on Scikit-Learn for solving machine learning regression problems. In this project, we will learn how to build and train regression models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests, gradient boosting, and k-means. This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.
Instructor
Ryan Ahmed
Frequently Asked Questions
How much does Scikit-Learn to Solve Regression Machine Learning Problems cost?
Visit the Scikit-Learn to Solve Regression Machine Learning Problems course page for current pricing and available discounts.
Who teaches Scikit-Learn to Solve Regression Machine Learning Problems?
Scikit-Learn to Solve Regression Machine Learning Problems is taught by Ryan Ahmed, Coursera.
What skill level is Scikit-Learn to Solve Regression Machine Learning Problems for?
This course is designed for all levels learners.