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 youll be able to identify the need for linear regression and implement it effectively.