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scikit-learn is a popular machine learning package for Python that has simple and efficient tools for predictive data analysis. Topics include classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
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3
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One Hot Label Encoding Scikit_learn convert back to Data Frame
I have a data frame with 4 features and 1 target. The 4 features are 3 categorical and 1 numerical.
I created X which is a new data frame for the 3 categorical features. I use one hot label encoding …
0
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1
answer
828
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metric accuracy for linear regression and non linear regression
Is there a one size fit all metric to measure accuracy / error rate for both linear or non linear regression models?
For example adjust R2 is only for multi linear regression (or so they say).
RMSE s …
2
votes
2
answers
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Supervised learning approach - creating my own labels
Scenario - I have data that does not have labels but I can create a function to label the data based on behavior and deploy the model so I don't have to keep labeling the data. Is this considered mach …