Prediction of price using Random forest Regression with given data set In this project I had to predict price of flats from berlin_airbnb_test.csv. Input data was:
- berlin_airbnb_train.csv
- submit.csv
My output had to be:
- my_submission.csv
- ipynb file
In ipynb file I had to compare different types of ML models and show lever of accuracy in predictions.
I used GaussianNB and Random Forest Regression with accuracy 0.0046 and 0.73 using closed testing data.