A Non Mathematical guide to the mathematics behind Machine Learning

This model finds the "best fit" line through a set of data points by using a simple formula. The variable you want to predict (the dependent variable) is represented as an equation of variables you know (independent variables). The prediction can be obtained through the outcome of the equation by inputting the independent variables, and having the equation provide the answer. The main categories of Linear models used are Linear Regression and Logistic Regression. Linear Regression is used for predicting numerical values using the "best fit" line through all data points.