Regression 2

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Instructor:
Azmi Mohamed Ridwan
Senior AI Engineer | AI Industry Innovation

Overview

In this section, you will continue building your knowledge about Regression by applying it to a new dataset, the Ames Housing dataset where you will attempt to predict housing prices.

At the end of these series of lessons, you should know not only have a better grasp of key concepts but also have created Python scripts that you can reuse in the future to quickly build more Machine Learning projects.

Prerequisites

  • Complete “Supervised Learning with scikit-learn” course on Datacamp
  • Complete “Setup your Machine Learning Environment” course on this LMS.

Requirements

To complete this course, you will need a desktop/laptop system with Python installed as described in the “Setup your Machine Learning Environment”

Instructions

This course consists of 4 lessons. At the end of each lesson, there is short quiz to test your understanding of the material.