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
382 EnrolledAt 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.
- 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.
What you will learn
- 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
Estimated Effort
2 Hours
Level
Expert
Industries
Retail
Skills You Will Learn
Artificial Intelligence, Data Analysis, Data Science, Machine Learning
Language
English
Course Code
GPXX0BOFEN