Hi everyone, i am trying to predict house prices from sberbank housing data.
In my notebook, at Test Predictions for lineer regression model part, model gives:
ValueError: X has 273 features, but SimpleImputer is expecting 274 features as input.
But same model works with validation set without this error. I did not understand the issue
And second problem is at Hyperparameter Tuning for random decision tree, at this section it says there no such hyperparameters but all of the hyperparameters i called is in model too. This is the error mesage:
TypeError: init() got an unexpected keyword argument ‘max_depth’
Also notebook :
Thanks whoever helps.