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