Splitting Dataset into Training and Testing
X and Y splitting (i.e. Y is the SalePrice column and the rest of the other columns are X)
Python3
from sklearn.metrics import mean_absolute_errorfrom sklearn.model_selection import train_test_splitX = df_final.drop(['SalePrice'], axis=1)Y = df_final['SalePrice']# Split the training set into # training and validation setX_train, X_valid, Y_train, Y_valid = train_test_split( X, Y, train_size=0.8, test_size=0.2, random_state=0) |
House Price Prediction using Machine Learning in Python
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on.
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