Build Your Own Recommendation Engine on AWS - PART 1 | S02 E24 | Build On Weekly
Did you ever want to build your own recommendation engine powered by machine learning? A way to properly create recommendations for your customers? In PART 1, Piyali and Darko look at the first steps it takes to do this.
"Did you ever want to build your own recommendation engine powered by machine learning? A way to properly create recommendations for your customers? Well you came to the right show 🥳 In this PART 1 episode, Piyali and Darko look at the first steps it takes to do this.
Today we manage to discuss the reasoning why would you need a recommendation engine. We ingest and clean up some data. We get to learn about pandas (no, not those 🐼), and converting your data into numeric values so it can be trained. Make sure to follow us for future PART 2 and PART 3 of this adventure, where we will actually train the Machine Learning Model, and deploy it as an API Endpoint, and yes have a front end for it as well. Make sure to show up every Thursday at 9AM Pacific as we Build (more) On AWS 😅
Oh yeah, and if you wish to follow along at home, Piyali was amazing and she wrote a whole blog post on this same topic. You can check it out here.
Check out the recording here:
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