Scikit-Learn to Solve Regression Machine Learning Problems

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Scikit-Learn to Solve Regression Machine Learning Problems

Coursera · Intermediate ·🔢 Mathematical Foundations ·3mo ago

Key Takeaways

Solves regression machine learning problems using Scikit-Learn library

Original Description

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.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Up next
How to Open OSM Files (OpenStreetMap Data)
File Extension Geeks
Watch →