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Supervised Machine Learning: Regression

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Certification

Supervised Machine Learning: Regression

This course will introduce Regression, which is one of the most important types supervised machine-learning modelling families.

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Description

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Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

Supervised LearningRegressionMachine Learning

Learning Goals

Differentiate uses and applications of classification and regression in the context of supervised machine learning
Describe and use linear regression models
Use a variety of error metrics to compare and select a linear regression model that best suits your data
Articulate why regularization may help prevent overfitting
Use regularization regressions: Ridge, LASSO, and Elastic net

Course Content

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Target Audience

This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting.

Instructors

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Mark J Grover

Digital Content Delivery Lead

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Miguel Maldonado

Machine Learning Curriculum Developer

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Case-Based Learning

International faculty

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Course Cover

This course includes

Duration

11 hours
Video Content
11 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English
0