BARNSWALLOWAI - MISHMASH - DEEP TECH/MACHINE LEARNING

[Shabir1386]

Before you start, please follow this format for your issue title: BARNSWALLOWAI - MISHMASH - DEEP TECH/MACHINE LEARNING

ℹ️ Project information

Deep Tech/Machine Learning - Problem Statement 3 - Data Science POC Use Case

2. Project Name: SALES (EQ) PREDICTION

3. Short Project Description: TO PREDICT SALES (EQ) USING THE TRAIN DATA PROVIDED BY APPLYING AZURE ML SERVICES

4. Team Name: BARNSWALLOWAI

5. Team Members: BALA GIRIJA(https://github.com/Girija405), MONALI TATTE (https://github.com/monali25t-sys), SHABIR JAMEEL (https://github.com/Shabir1386)

6. Demo Link: NA

7. Repository Link(s): https://github.com/Shabir1386/shabir1106-gmail.com/tree/master/Apr1-Final_ML_Model

8. Presentation Link: https://github.com/Shabir1386/shabir1106-gmail.com/blob/master/MishMash_Machine_Learning.pptx

9. Deep Tech - Problem Statement - 3: PLEASE FIND IN REPOSITORY

10. Deep Tech - Problem Statement - 2: NA

11. Azure Services Used- AZURE MACHINE LEARNING

🔥 Your Pitch

This project used Train data provided and build a model using Azure Machine Learning Services which includes workspace creation, dataset upload, AutoML configuration, creating Azure Experiments. Finally, we did predicted the test data using the model been created and calculated the MAPE, Accuracy. This model can be used for any new Datasets to predict the Sales (EQ) which has major impact in the business world.

🔦 Any other specific thing you want to highlight?

NA

✅ 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.