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Curation of Non-Mainstream ML Libraries
A curated list of 100+ non-mainstream libraries for all parts of the Machine Learning workflow
library machine-learning data-collection data-augmentation
How (And Why) to Create a Good Validation Set
Steps for creating a representative validation set for training.
data-collection validation-set checklist systems-design
The Process for Data Preparation and Feature Engineering
To get our predictions right, we must construct the data set and transform the data correctly.
data-collection feature-engineering systems-design tutorial
Lazynlp
Library to scrape and clean web pages to create massive datasets.
dataset natural-language-processing data-collection text-mining
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