University of Maryland Classifieds>University of Maryland Online Courses>Scikit-Learn For Machine Learning Classification Problems

Scikit-Learn For Machine Learning Classification Problems

About this Course

Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems. In this project, we will learn how to build and train classifier 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.

Created by: Coursera Project Network


Related Online Courses

This third course in the XR for Everybody specialization is geared toward the technical development of XR experiences. The course provides learners with a more technical mental model of XR... more
This specialization is ideal for individuals who currently work in or are targeting opportunities in consulting and strategy, industrial sales and buying, marketing management, entrepreneurship and... more
This MOOC prepares students that want to analyse trade and investment policies of developing countries and emerging markets. We couch you for the task of giving evidence-based policy. For students... more
Code and apply your first Terraform configuration without installing anything! This course is designed for learners with limited knowledge of cloud computing, providing a solid foundation of cloud... more
This is a self-paced lab that takes place in the Google Cloud console..In this lab, you will learn how to use Datadog Monitoring with Google Eventarc.Created by: Google Cloud more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL