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Advanced Machine Learning Analysis in Retail

ExpertGuided Project

This project will help you apply Advanced Machine Learning methods to research trends and data in retail. Additionally, it will also guide you in analysing data from 45 stores located in different regions; each store contains a number of departments.

4.5 (62 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Retail

Enrollment Count

  • 1.26K

Skills You Will Learn

  • Machine Learning, Artificial Intelligence, Data Science, Data Analysis

Offered By

  • IBM

Estimated Effort

  • 2 hours

Platform

  • SkillsNetwork

Last Update

  • May 12, 2025
About this Guided Project
One challenge of modeling retail data is making decisions based on limited history. Holidays and select major events come once a year, and so does the chance to see how strategic decisions impact the bottom line. In addition, markdowns are known to affect sales; the challenge of this lab is to predict which departments will be affected and to what extent. Therefore, the main problem to be solved in this lab is 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 recommended actions based on the insights drawn, with priority placed on those having the largest business impact.
This project shows a set of machine-learning methods to solve similar problems. 

What you will learn

This lab consists of the following steps:
  • Import Libraries/Define Auxiliary Functions
  • Download and pre-preparation data 
  • Predict the department-wide sales 
    • Previous Data Analysis
    • DataSet creation
    • Data normalization
    • Linear Regression
    • Back Propagation Neural Network
    • Long Short-Term Memory - LSTM
  • Model the effects of markdowns on holiday weeks
    • Preliminary analysis
    • Linear Regression
    • Back Propagation Neural Network
    • Sensitivity analysis
  • Recommendation for department
  • Final Task
    • SubTask 1. Sensitivity function
    • SubTask 2. Sensitivity of Department
    • SubTask 3. Sensitivity of 10 departments

Prerequisites

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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Olha Vdovichena

Content Creator

Olha Vdovichena – associate professor Department of Management, Marketing and International logistics Chernivtsi Institute of Trade and Economic of State University of Trade and Economic. She is an author of over 93 scientific works, 17 monographs (sections of the monographs), and books, a member of the Editorial Board of scientific journal "Journal Chernivtsi Institute of Trade and Economic of State University of Trade and Economic. Economic sciences". She defended her doctoral dissertation on the topic "Exhibition and trade fair activity as a factor of socio-economic development of the region" and became an Associate Professor of the Department of Commodity Science and Marketing. Olha’s scientific interests focus on research of development of an exhibition activity as a factor of socio-economic growth of the region; retail, marketing, logistics; improving management processes of international investments, regional economy and tourism sphere; formation of mechanisms regulating macroeconomic imbalances in both national and global economies under the conditions of inclusive development and bio-economic orientation.

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