Code Fellows 401
Day 13 Notes
Home
Reading
How to Run Linear Regression in Python
NOTE: The content to read ends at the Regression vs Classification section. After that it’s a product pitch for ActiveState which is not required, though you may find it interesting.
Additional Resources
Linear Regression in Python
Videos
Introduction to Simple Linear Regressions
Bookmark and Review
Train & Test Splits
What is Linear Regression
Things I want to know more about
- Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
- It is a type of supervised machine learning algorithm.
- It assumes that the relationship between the variables is linear.
- The goal of linear regression is to find the best-fitting line through the data points.
- The line is represented by an equation of the form Y = a + bX, where X is the independent variable and Y is the dependent variable. a and b are the parameters of the model, also called the coefficients, which are estimated from the data.