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Performing Linear Regression with Python

Implement gradient descent in linear regression problems, construct and evaluate simple linear models, and use feature engineering to create more complex supervised machine learning models.

Data Academy Subscription > Machine Learning > Performing Linear Regression with Python

Part of Data Academy Subscription

Intermediate

2 hours 51 minutes

Course Description

Implement gradient descent in linear regression problems, construct and evaluate simple linear models, and use feature engineering to create more complex supervised machine learning models. This course is part of the Supervised Learning path – complete this path to learn how to use and evaluate a range of supervised learning algorithms.

Requirements

Previous experience of using Python is required. Prior knowledge of machine learning is not necessary.

Instructor:

Packt Data

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