Team_Akash- Problem statement 3 POC Use Case- Deep Tech/Machine Learning

[akash600]

ℹ️ Project information

Team_Akash - Problem statement 3 POC Use Case - DEEP TECH/MACHINE LEARNING

Project information : Deep Tech or Machine Learning : Problem Statement 3 : Data_Science_POC_Use_Case

Project Name: Unilever Sales EQ Data Science POC Use Case

Short Project Description: Determination of major drivers of sales and forecasting sales for next 6 periods

Team Name: Data_Deciphers

Team Members: Akash - https://github.com/akash600 Katta durga prasad- https://github.com/kvdprasadreddy Bharath banala - https://github.com/bharathbanala

Demo Link: NA

Repository Link(s): https://github.com/akash600/Mish_Mash_Competition

Presentation Link:

Deep Tech - Problem Statement - 3: Both models are submitted.

Deep Tech - Problem Statement - 2: Not Applicable

Azure Services Used- Microsoft Azure Machine Learning

🔥 Your Pitch

By using Lasso method the major drivers for sales was found. Using machine learning models, the sales has been predicted for the test samples. The top seven drivers are: 1) Median_Rainfall, 2) Social_Search_Impressions and 3) pct_PromoMarketDollars_Category. 4) Inflation 5) EQ_Category 6) EQ_Subcategory 7) pct_PromoMarketDollars_Subcategory

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