In Machine Learning I, we observed the prediction success of our models and how the process was. We continue.

Least Square Method

This method is generally used in libraries such as scikit-learn, scipy, and regression problems. Gradient descent method is not used in these libraries.
The Normal Equations method gives us…

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Basic Concepts:

1- Variables

It is divided into dependent and independent variables. Dependent variables can be named as a target, dependent, output…

Feature engineering is the process that takes raw data and transforms it into features that can be used to create a predictive model using machine learning or statistical modeling, such as deep learning. Feature engineering aims to prepare an input data set that best fits the machine learning algorithm and…

What Is A/B Testing?

A/B testing (also known as split testing or bucket testing) compares two versions of a web page or app against each other to determine which one performs better. AB testing is essentially an experiment where two or more variants of a page are shown to users at random. …

With the development of technology, our habits are also changing. As such, most of today’s E-Commerce sites use their own proprietary recommendation algorithms to better serve customers with the products they have to like. There are many examples such as Netflix’s movies, Spotify’s music, Facebook recommending friends, product recommendations of…

In this article, I will discuss the ways to reveal this potential value.

This is the second and the final part of the article series about Customer Value. In the first part, I discussed the core of customer value calculation: RFM metrics and scores.

This final part will be about…

Rule-Based Classification

In this article, we will do a simple rule-based segmentation study using only pandas functions without using machine learning.

We will create new customer definitions (level-based persona) by using the user information we have and the information about the purchases made by the users. …

Berkay

Data Science Enthusiast — For more information check out my LinkedIn page here: www.linkedin.com/in/berkayihsandeniz

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