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Let's say we have 1 million app rider journey trips. We want to build a model to predict ETA after a rider makes a ride request...

Let's say you have a categorical variable with thousands of distinct values, how would you encode it?

Let's say we want to build a model to predict booking prices for a hotel booking company. Between linear regression and random forest regression, which model would perform better and why?

Let's say we have 1 million app rider journey trips. We want to build a model to predict ETA after a rider makes a ride request...

Let's say we want to build a model to predict booking prices for a hotel booking company. Between linear regression and random forest regression, which model would perform better and why?

Let's say we have 1 million app rider journey trips. We want to build a model to predict ETA after a rider makes a ride request...

Let's say you have a categorical variable with thousands of distinct values, how would you encode it?

Let's say we want to build a model to predict booking prices for a hotel booking company. Between linear regression and random forest regression, which model would perform better and why?