Scikit-Learn to Solve Regression Machine Learning Problems
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.Created by: Coursera Project Network
Related Online Courses
This course is primarily about business negotiation and building confidence in your ability to negotiate effectively. But these skills can be applied in life too. The course presents the tools,... more
Using SAS Visual Forecasting and other SAS tools, you will learn to explore time series, create and select features, build and manage a large-scale forecasting system, and use a variety of models... more
This course is designed for Beginners with some background in basic web development experience, HTML, Javascript, and CSS. This course requires no specific hardware or software, just a web browser... more
This Guided Project \"Python for Beginners: Variables and Strings\" is for individuals who are new to programming and want to learn the basics of Python. In this 2-hour long project-based course,... more
Businesses are currently dealing intensively with digital transformation. Blockchain has a major impact on the design and implementation of digital business processes in many application areas such... more
Powered by
