Regression Models and Forecasting Logic

In this lesson, we will learn regression models and forecasting logic. Numerical targets, Linear Regression, Multiple Regression, regression metrics, forecasts, trends, seasonality, and business interpretation of regression results will be explained. ## Lesson objective In this lesson, we will learn Regression Models and Forecasting Logic. In the previous lesson, we introduced Deep Learning and Neural Networks. We explained neuron, layer, weight, bias, activation function, forward propagation, loss function, optimizer, backpropagation, epoch, and batch.