Hey! I’ve worked with the amazon home and kitchen dataset before, and yeah, it’s super interesting but can be a bit messy. One thing I noticed is that the product descriptions are often inconsistent, so I’d recommend starting by standardizing those.
For insights, I found some cool trends in seasonal products—like how air fryers spike in winter. For cleaning, I used OpenRefine to handle duplicates and missing values. It’s free and pretty intuitive!
If you’re into recommendations, check out Surprise library in Python. It’s great for building basic rec systems. Good luck!
For insights, I found some cool trends in seasonal products—like how air fryers spike in winter. For cleaning, I used OpenRefine to handle duplicates and missing values. It’s free and pretty intuitive!
If you’re into recommendations, check out Surprise library in Python. It’s great for building basic rec systems. Good luck!