Regression Math: Getting Started with Linear Regression

Linear Regression analysis is a simple yet powerful technique for quantifying cause and effect relationships. Use this course to get your head around linear regression as the process of fitting a straight line through a set of points. Learn how to define residuals and use the least square error. Define and measure the R-squared, implement regression analysis, visualize your data by computing a correlation matrix and plotting it in the form of a correlation heatmap, and use scatter plots as a prelude to performing the regression analysis.Finish by implementing the regression analysis first using functions that you write yourself and then using the scikit-learn python library.By the end of the course, you’ll be able to identify the need for linear regression and implement it effectively.