Rutgers Classifieds>Rutgers Online Courses>Scikit-Learn to Solve Regression Machine Learning Problems

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

Agentic AI is a type of AI that combines Generative AI with tools and actions, allowing us to build \"agents\" to assist us with everyday tools like Gmail, Office365, Google Sheets, Salesforce,... more
This course is intended for blockchain innovators, developers, security analysts, and business leaders seeking to build or enhance secure blockchain networks. With Blockchain Security Foundational... more
What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use... more
This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra. It will prove to be especially interesting for those with... more
Welcome to the course Oracle Cloud Infrastructure Architect Professional. This course prepares you for the highest level of OCI certification, Oracle Cloud Infrastructure Architect Professional.... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL