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View Code? Open in Web Editor NEWA Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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How can I use the entropy score for unsupervised feature selection with python?
I would rank my features with the entropy score and select m relevant features. My dataset is unlabeled. How can I use this with python?
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Suggest a link
Hello, I just browsed the Udemy course about feature engineering recommended by you, and found a blog written by the course instructor. So I provide it here, maybe it can be helpful to someone.
Feature Engineering for Machine Learning: A Comprehensive Overview
Feature Engineering: Best Resources to Learn Feature Engineering for Machine Learning
Module "feature_selection"
Hello, the module "feature_selection" import error, try ingress with pip installation display no this module, how can I make this module? Thank you！
ModuleNotFoundError: No module named 'feature_cleaning'
ModuleNotFoundError: Certain modules are not found which are listed below
category_encoders
feature_engineering
data_exploration
feature_cleaning
feature_selection
this modules are not available on pypi or conda repository
ModuleNotFoundError: No module named 'data_exploration'
not even getting this module in pypi or conda repository.
Diagram
I think the triangle diagram in this repo was from Dive into Machine Learning, which was licensed under Creative Commons Attribution 4.0 License. If you wouldn't mind updating, to include attribution to the source material, such as a link to the original doc, I think that would be helpful, because then people could find more related resources.
Note this is just in the interest of sharing resources openly with people. If they have a link back to the source of this diagram, then they can easily discover related helpful material.
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