Seven ways to select columns using ColumnTransformer

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There are SEVEN ways to select columns using ColumnTransformer:
1. column name
2. integer position
3. slice
4. boolean mask
5. regex pattern
6. dtypes to include
7. dtypes to exclude

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Let me know if you have any questions, and thanks as always for watching! 🙌

dataschool
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Thank you so much, Kevin. You are making everything easy.

satyatej
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Finally you made explanation video on scikit learn thank you so much 👍

jaysoni
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Absolutely Beautiful! I was working on the same problem.

adamyatripathi
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This way allows a very granual column selection and distinction e.g. seperate high cardinality columns in a different pipeline.

DrJohnnyStalker
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Hi, kevin i have a question about the Column Transformer, how do you manage to avoid redundancy?
for example when you perform one hot enconding on sex column, normally we kept only one column instead of 2,
how do you manage that? thanks and great job

MOHAMEDSaid-tzjx
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thank you u explain sklearn how to work with model and every thing fine the next step (production )

hogobi
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Sir, pls make video on Time series (Full topic cover in single tutorial)

deepakvyas
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Is it possible to inverse transform the ct object to see the (orginal to encoded) transition. In the docs of SCIKIT learn i could find for the single data type transition (onehot, label) but not for the heterogenous column transformer. can you help please....

jaikishank
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Problem :
> install.packages("dplyr")

Installing package into

(as ‘lib’ is unspecified)


Content type 'application/zip' length 1299904 bytes (1.2 MB)

downloaded 1.2 MB

 

Error in install.packages : cannot open file Permission denied

asraramostofa
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