Day 11 Kaggle's 30 Days of ML

Finished the turotial Intro to Machine Learning.

Some takeaways:

To make the model better:

change n_estimators for RandomForestRegressor
change features

Calculate RSME (root mean square error):

from sklearn.metrics import mean_squared_error
rf_val_rmse = np.sqrt(mean_squared_error(rf_val_predictions, val_y))