Hey! Have you looked into UCI Machine Learning Repository? They’ve got some solid datasets for dynamic pricing model projects. Not all are perfect, but you can tweak them to fit your needs.
For cleaning, I’d recommend using SQL if your dataset is huge. It’s faster than Python for basic stuff like filtering and aggregating. Also, check out Trifacta for automated data prep—it’s a game-changer.
For cleaning, I’d recommend using SQL if your dataset is huge. It’s faster than Python for basic stuff like filtering and aggregating. Also, check out Trifacta for automated data prep—it’s a game-changer.