Kaggle has tons of linear regression notebooks and datasets to learn from, most popular ones are probably about house pricing (given certain house features predict it’s price).
Here’s a new one I’m looking forward to solve:
Ben & Jerry’s flavours and ratings —> products.csv
The main goal would be predict wich ice cream flavours are better accepted based on it’s ingredients.
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