We have dataset of house prices with some features like numbers. of bathrooms, numbers. of bedrooms, etc. Our main task is to create a model which will predict the price of any house by looking at the features .This is RandomForestRegeressor  model selection to solve this problem.

   Building project specific House price , EDA, under-sampling data, developing a pipeline with sklearn for preprocessing/data wrangling and model building along with cross-validation, model evaluation and  deploying.