April 2018
Beginner to intermediate
566 pages
12h 17m
English
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.
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.
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 ...