Understanding the revised approach

In this section, we will be looking at the key concepts and approaches for alignment and smoothing. It is not that difficult to implement the Logistic Regression algorithm; we will be using the scikit-learn API. So, we will start with understanding the concepts and approaches for implementation.

Understanding concepts and approaches

Here, we will discuss how alignment and smoothing will work. Once we understand the technicality behind alignment and smoothing, we will focus on the Logistic Regression-based approach.

Alignment-based approach

Using this approach, we will be increasing the prices using a constant value so that our predicted price and actual price in testing the dataset will be aligned. Suppose we take 10 days into consideration. We will generate the average of the value of the prices. After that, we generate the average value for the prices that have been predicted by the first ML model. Once we generate both average values, we need to subtract...