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Advanced Machine Learning Analysis for Marketing

ExpertGuided Project

This lab is dedicated to learnig the Advanced Machine Learning methods for analysis of Retail based on 3 years sales data for 45 stores located in different regions - each store contains a number of departments.

4.6 (87 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Marketing

Enrollment Count

  • 630

Skills You Will Learn

  • Artificial Intelligence, Machine Learning, Data Science

Offered By

  • IBM

Estimated Effort

  • 2 hours

Platform

  • SkillsNetwork

Last Update

  • May 10, 2025
About this Guided Project
One challenge of modelling retail data is the need to make decisions based on limited data. During the holidays and select major events there is an increase in sales, as well as the chance to see how strategic decisions impacts the bottom line. Discounts and promotions can also affect sales. The goal of this lab is to predict which departments will be affected and to what extent.

The main problems to be solved are the use of advanced methods of machine learning to:
  1. predict the department-wide sales for each store;
  2. model the effects of markdowns on holiday weeks;
  3. provide marketing recommended actions based on the insights drawn, with prioritization placed on largest business impact.

What you will learn

After completing this lab, you will be able to:
  • Download a DataSet from *.csv files
  • Merge DataSets
  • Make autocorrelation analisys
  • Transform DataSet accordingly Lag shift
  • Apply basic and advanced methods of machine learning such a: Linear regression, Back-Propagation and Reccurent Neural Networks
  • Calculate accuracy of models
  • Make forecasting
  • Calculate and analyze sensitivity of models

Instructors

Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.

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Kateryna Hazdiuk

PhD of Software Engineering

I am an assistant professor at the Yuriy Fedcovych Chernivtsi National University, Software of Computer Systems Department; an author of over 40 scientific works and 10 training manuals. Research Interests: Mathematical Modeling of Complex Dynamic Systems (bio-like systems, socio-economic, geographical systems), Data Science, Decision Making using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, and other methods.

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