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In this liveProject, you’ll fill the shoes of a developer for an e-commerce company looking to build a machine learning solution to help identify bad product reviews. If one of your company’s products receives too many bad reviews, it’s policy to take it down from the e-commerce store. Until now this process has been manual—but your boss has decided that this is too expensive and time-consuming.
Your mission is to automate this process, dramatically increasing the speed of identifying bad reviews, and decreasing the cost to your company. To complete this project you will have to train a machine learning model to recognize and rank positive and negative reviews, expose this model to an API so your website and partner sites can benefit from automatic rankings, and build a small webpage that can run your model for demonstration.
Updated March 2022
This liveProject will benefit both full-stack web developers and data scientists. If you’re a web developer, you’ll expand your skillset with valuable data science knowledge. If you’re a data scientist, you’ll develop techniques for deploying and demonstrating your models.
In this liveProject, you’ll learn the diverse skill set necessary to design, create, host, and give a live demonstration of a machine learning model. You’ll learn how all parts of machine learning tie together, and how to effectively deploy a model to production.