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Showing posts with the label Sklearn Pandas
Number Of Features Of The Model Must Match The Input. Model N_features Is 40 And Input N_features Is 38

Number Of Features Of The Model Must Match The Input. Model N_features Is 40 And Input N_features Is 38

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i am getting this error.please give me any suggestion to resolve it.here is my code.i am taking tra… Read more Number Of Features Of The Model Must Match The Input. Model N_features Is 40 And Input N_features Is 38
Valueerror: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1

Valueerror: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1

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I am trying this training modeling using train_test_split and a decision tree regressor: import skl… Read more Valueerror: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1
Inverse Transform Predicted Results

Inverse Transform Predicted Results

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I have a training data CSV with three columns (two for data and a third for targets) and I successf… Read more Inverse Transform Predicted Results
Python Sklearn Multiple Linear Regression Display R-squared

Python Sklearn Multiple Linear Regression Display R-squared

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I calculated my multiple linear regression equation and I want to see the adjusted R-squared. I kno… Read more Python Sklearn Multiple Linear Regression Display R-squared
Sklearn Stratified Sampling Based On A Column

Sklearn Stratified Sampling Based On A Column

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I have a fairly large CSV file containing amazon review data which I read into a pandas data frame.… Read more Sklearn Stratified Sampling Based On A Column
Converting A Pandas Dataframe Column Into One Hot Labels

Converting A Pandas Dataframe Column Into One Hot Labels

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I have a pandas dataframe similar to this: Col1 ABC 0 XYZ A 1 XYZ B 2 XYZ C By usi… Read more Converting A Pandas Dataframe Column Into One Hot Labels