Sample Size estimation paper

Very nice reference for SSD.

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-6947-12-8

Step-By-Step Framework for Imbalanced Classification Projects

https://machinelearningmastery.com/framework-for-imbalanced-classification-projects/ 

A link.

A Small collection on the ROC curve analysis

Here is a list of links i have found useful regarding the ROC curve.

This is a very readable link on ROC curve and selection of operating point.

Just today, i saw that Tom Fawcett had died in 2020 of a freak bicycle accident. A tribute article from his collaborator.

The classical article by Tom Fawcett here and here. For the latter article, one has to pay for it. But a search on any search engine may lead to other sources of information.

Redhat article onci/cd

https://www.redhat.com/en/topics/devops/what-is-ci-cd

Nice summarisation.

Links on git branching

Feature Branch workflow:

https://nvie.com/posts/a-successful-git-branching-model/

from this link which discusses different git WF

https://medium.com/flexisaf/git-workflow-for-your-project-3d9dbdc5f8e2

A capsule of ML metrics

Handy bookmark

https://towardsdatascience.com/the-ultimate-guide-to-binary-classification-metrics-c25c3627dd0a#0675

Testing from email

This is a test post from the email.

and here is a link.

https://github.com/tensorflow/tensorflow/issues/14857