An effective and flexible Quantile-Based Balanced Sampling algorithm for addressing class imbalance in datasets while preserving the underlying data distribution, improving model performance across various machine learning applications.
I've been using a framework with Fedora and so far the experience has been fantastic. The only cons I've noticed is half the battery life of my MBP and loud fans. I'm often near an outlet and don't do CPU-heavy tasks unplugged, so the framework has been all I need and I'm listening to music so I don't notice the fans. I would seriously consider a framework instead of HP.
You could always install a different OS on your son's Chromebook since it would still have access to all of the school's software (through Chrome) and more. I'd recommend GalliumOS (https://galliumos.org/) since the drivers support audio and keyboard shortcuts better.
I did a variation on this in high school, where the wife (in this case) would also have to choose you. So it was at what point you stop searching if your partner is also playing the same game. It makes more sense imo since you can't just decide that someone will marry you.
I don't like requiring a chrome extension to search, and giving a 404 error on uninstall (https://you.com/chrome_uninstall_survey) is suspicious. If the developers aren't checking links and testing their product, then I don't want to use it.
As part of a Kickerstarter campaign, Morphcat Games made this video explaining how they eked out a really incredible game with only 40 Kb (a lot like Super Mario Bros 2). I definitely recommend checking this out as they go over interesting compression methods and more general thought processes.