Offered By: IBM
Advanced Machine Learning Analysis in Retail
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.
Continue readingGuided Project
Artificial Intelligence
274 Enrolled4.5
At a Glance
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.
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:
- Predict the department-wide sales for each store.
- Model the effects of markdowns on holiday weeks.
- 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
- Python - advanced level
- Pandas - basic level
- SeaBorn - basic level
- Scikit-learn - intermediate level
- keras - intermediate level