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Machine Learning: Introduction with Regression

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Overview

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Ready to start your journey into Machine Learning? Take Machine Learning: Introduction with Regression, you will learn what machine learning is, and how to implement the most fundamental and universal algorithms: Simple and Multiple Linear Regression!

Syllabus

  • Introduction to Machine Learning: What is Machine Learning and how do we use it?
    • Lesson: Why Use Machine Learning?
    • Article: Supervised vs. Unsupervised Learning: what's the difference?
    • Article: Scikit-Learn Cheatsheet
  • Linear Regression: Given a set of points, find a line that fits the data best! Even this simple form of regression allows us to predict future points.
    • Lesson: Linear Regression
    • Quiz: Linear Regression
    • Project: Honey Production
  • Multiple Linear Regression: **Multiple Linear Regression** uses two or more independent variables to predict the value of the dependent variable.
    • Article: StreetEasy Dataset
    • Lesson: Multiple Linear Regression
    • Quiz: Multiple Linear Regression
    • Informational: Next Steps

Taught by

Sarai Fernandez

Reviews

4.6 rating at Codecademy based on 400 ratings

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