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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.

2 votes
3 answers
2k views

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 …
grim_reaper's user avatar
0 votes
1 answer
828 views

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 …
grim_reaper's user avatar
2 votes
2 answers
210 views

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 …
grim_reaper's user avatar