Google Local Data

Inspiration

Knowing how a user would like a place.

What it does

Given a random pair of user and place, we can know the rating the user gives to the place.

How we built it

Baseline model, feature engineering, and LinearSVC.

Challenges we ran into

Extracting features from the dataset.

Accomplishments that we're proud of

Low mean square error.

What we learned

How to do feature engineering better,

What's next for Google Local data

More data and recommend places for users.

Built With

• python