shreyas3108/house-price-prediction

Predicting house prices using Linear Regression and GBR

house-price-prediction's Issues

ValueError

can anyone solve this error

params is not defined

the variable (or some deprecated part of sklearn) named 'params' has been used here.
which raises the error name 'params' is not defined

Renaming of a module

In the model from sklearn.cross_validation import train_test_split should be from sklearn.model_selection import train_test_split as the module name is changed if we don't do that it will through an error.

Hope this will help others.
Cheers.

I think there's nothing wrong with this part, then why it still shows error? Pls help me guys!

Issue with Code

In your code at In [29], near the bottom gives this error: NameError: name 'params' is not defined.

Then the rest of the code will not execute without that defined previously.

House price prediction

new issue x and y value should be same

can someone solve this error please

Scalling data

I think scaling should be considered before performing linear regression.

need info about data

Hi Shreyas

I need to know that in this data what 'grade' and 'condition' values stands for like what info thus these number in these column provide.

Scaling

If you want to apply scaling techniques on they should be applied before model building. Also while applying make sure you fit_transform on Train and transform on the Test.

Issue with readme