Predicting 'interest level' in NY listings using machine learning
This is a dataset from a competition on Kaggle. The aim is to predict 'interest level' in rental listings. It is a classification problem.
Features explored -
- Number of bedrooms
- Number of bathrooms
- Description
- Number of photos
- Location of listing
- Price point of listing
Based on these features, I trained a LR, Random forest and QDA model. The Random forest model has displayed the best performance.