Calculate the bias of k-fold cross-validation with hyper-parameter configuration
-
Updated
Jun 6, 2023 - Python
Calculate the bias of k-fold cross-validation with hyper-parameter configuration
Machine learning model which can predict the strength of a mixture for given composition of ingredients like cement, slag, ash, water, superplastic, coarse aggregates, fine aggregates, age.
A production-ready Email Spam Classifier built using Machine Learning and Natural Language Processing (NLP). This project classifies emails as Spam or Not Spam (Ham) using a clean, modular, and testable codebase.
Add a description, image, and links to the cross-validation-score topic page so that developers can more easily learn about it.
To associate your repository with the cross-validation-score topic, visit your repo's landing page and select "manage topics."