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Feature Engineering for Data Engineers: Building Blocks for ML Success

MichTalebzadeh
Valued Contributor

For a  UK Government Agency, I made a Comprehensive presentation titled " Feature Engineering for Data Engineers: Building Blocks for ML Success".  I made an article of it in Linkedlin together with the relevant GitHub code. In summary the code delves into the critical steps of feature engineering, demonstrating how to handle missing values, encode categorical data, and prepare numerical features for modelling. By employing techniques like mean imputation and one-hot encoding, we establish a solid foundation for training complex models such as Variational Autoencoders (VAEs). This comprehensive approach empowers data scientists and data engineers  to extract meaningful insights and build high-performing machine learning pipelines.

The full post is here

Feature Engineering for Data Engineers: Building Blocks for ML Success | LinkedIn

 

 

Mich Talebzadeh | Technologist | Data | Generative AI | Financial Fraud
London
United Kingdom

view my Linkedin profile



https://en.everybodywiki.com/Mich_Talebzadeh



Disclaimer: The information provided is correct to the best of my knowledge but of course cannot be guaranteed . It is essential to note that, as with any advice, quote "one test result is worth one-thousand expert opinions (Werner Von Braun)".
1 ACCEPTED SOLUTION

Accepted Solutions

Anushree_Tatode
Moderator
Moderator

Hi,
Excellent presentation and article! Your insights on feature engineering and practical code examples are incredibly useful for building strong ML models. Thanks for sharing!

Thanks,
Anushree

 

 

View solution in original post

2 REPLIES 2

Anushree_Tatode
Moderator
Moderator

Hi,
Excellent presentation and article! Your insights on feature engineering and practical code examples are incredibly useful for building strong ML models. Thanks for sharing!

Thanks,
Anushree

 

 

Many thanks for your kind words Anushree. Much appreciated.

Mich Talebzadeh | Technologist | Data | Generative AI | Financial Fraud
London
United Kingdom

view my Linkedin profile



https://en.everybodywiki.com/Mich_Talebzadeh



Disclaimer: The information provided is correct to the best of my knowledge but of course cannot be guaranteed . It is essential to note that, as with any advice, quote "one test result is worth one-thousand expert opinions (Werner Von Braun)".

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