The inspiration was to try Amazon marketplace the first time. I wanted to understand the structure of how to use the models available. I am also interested in e-commerce

What it does

It tells the probability of someone buying a popular beauty product based on the weekday and the rating of a product.

How I built it

I built it using Sagemaker and s3. I wrangled the data to suit the algorithm before training and getting inference.

Challenges I ran into

As this is the first time I am using AWS marketplace, I found it challenging to understand the structure. I also had to manipulate data based on the requirements of the model available. I also found it challenging to find the correct data for the algorithm.

Accomplishments that I'm proud of

I made it work. Although it is only a small project, I fulfilled my aim to learn how to use the marketplace.

What I learned

I learnt how to use the marketplace.

What's next for Amazon Beauty Products Recommendation

Deploy the model to make real-time predictions for the real customer

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