Restaurants on Yelp! dataset are frequently revied. Tourists and local check online if a place iw worth eating,
The task is to predict the 'star rating' of a restaurant for a given users average stars. We will use multivariable linear regression for our task.
The dataset comprises three tables that cover 11,537 businesses, 8,282 check-ins, 43,873 users, and 229,907 reviews. The entire dataset as well as details about the dataset are available on the Yelp website.
Apply the multiple linear regression model for the data set Yelp, and predict the star rating for restaurant.
Why we care:DATA_ADSENSE
Some data transformation were applied on datasets to derive a final dataset with usefull features.
fit <- lm(stars.y ~ user_avg_stars + business_avg_stars , data=reg_data)