Fire_Ball - Deep Learning Model for Sales Forecast - Deep Tech or Machine Learning

[SumanthaPriestly]

Before you start, please follow this format for your issue title: Fire_Ball - Deep Learning Model for Sales Forecast - Deep Tech or Machine Learning

ℹ️ Project information

1. You can select any one theme from - XR / Mobility / FinTech/ Deep Tech or Machine Learning / Ed-Tech / Social Impact Theme - Deep Tech or Machine Learning Problem Statement
   • One of Unilever’s brands is going through some major changes in Business Execution plans and will like to know: • What are the major drivers for sales(EQ)? • Knowing the drivers, how can they predict future sales for the next 6 periods?

2. Project Name:
   Deep Learning Model for Sales Forecast

3. Short Project Description: The Forecast model uses LSTM bi-directional deep learning technique and exploits the advantage of using univariate and multivariate time series data.

4. **Team Name Fire_Ball

5. **Team Members Sumantha Esther Priestly @SumanthaPriestly Angela Esther @Ange2109996

6. Demo Link: NIL

7. Repository Link(s): https://github.com/SumanthaPriestly/SalesForecasting

8. Presentation Link: PPT Attached

9. Deep Tech - Problem Statement - 3: Code for both the models have been uploaded to GitHub

10. Deep Tech - Problem Statement - 2: NIL

11. Azure Services Used- Kindly mention the Azure Services used in your project.

🔥 Your Pitch

Kindly write a pitch for your project. Please do not use more than 500 words

• Handled Missing Values
• Feature Importance
• LSTM bi-directional (univariate and multivariate)

🔦 Any other specific thing you want to highlight?

(Optional)

✅ Checklist

Before you post the issue:

• [ ] You have followed the issue title format.
• [ ] You have mentioned the correct labels.
• [ ] You have provided all the information correctly. SALES_FORECAST.pptx