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Product Price Recommendation

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Product Price Recommendation

Date

May 12, 2019

Categories

Web apps, products

Project Link

View Dashboard

GitHub Link

NA

Project Details

This application helps Marketing & R&D Teams determine product gaps and price new products to fill the gaps using machine learning. The application is built in the 5-Course R-Track System.

Project Requirements

✅ Shiny Web Applications

✅ HTML and CSS

✅ Product Gap Analysis using Machine Learning (XGBoost)