I have a large set of search data from a particular website. A sample data set is attached here. Data set includes nearly 11,000 rows.
What I want to do is to predict the price. I want to predict the price for a particular holiday id, particular Inhouse rating, particular star rating, particular brand, particular room type and for a particular departure date.
I used several clustering methods like k-means to resolve this problem. But non of them still didn't work for me.
Can anyone tell me what is the best approach to do this?
What I want to do is to predict the price. I want to predict the price for a particular holiday id, particular Inhouse rating, particular star rating, particular brand, particular room type and for a particular departure date.
I used several clustering methods like k-means to resolve this problem. But non of them still didn't work for me.
Can anyone tell me what is the best approach to do this?