Machine Learning: Introduction with Regression

Get started with machine learning and learn how to build, implement, and evaluate linear regression models.
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!


* Create a regression model

* Predict future values based on existing data

* Assess model accuracy

• Introduction to Machine Learning: What is Machine Learning and how do we use it?
• Lesson: Why Use Machine Learning?
• Article: Supervised vs. Unsupervised
• 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