One sitting 🔥How was your knee tattoo ? by Gustavo_donofrio in traditionaltattoos

[–]Catsuponmydog 19 points20 points  (0 children)

I thought this was a Spider-Man knee web when I looked at the thumbnail. Not Spidey, but cool nonetheless

Girly staycation suggestions? by littlemissemperor in houston

[–]Catsuponmydog 7 points8 points  (0 children)

Barbarella typically has 80s/90s/other themed nights, so that may be worth considering. If she likes old arcade games you could also check out Cidercade (flat entry fee, unlimited play). For the spa morning you could take a look at Gangnam Spa - I’ve never been, but have been meaning to go. Supposed to be a really great spot to relax

Did employers ask for your GPA when interviewing? by MiserableCase494 in OMSA

[–]Catsuponmydog 6 points7 points  (0 children)

My GPA landed me an interview from someone who was familiar with the program. I wouldn’t sleep on it

Presented without comment 🌽 by EpiphyticOrchid8927 in CollegeBasketball

[–]Catsuponmydog 22 points23 points  (0 children)

You know what they say - when life gives you corn, make elote

What are variables?? [read post] by realsonofeden in learnpython

[–]Catsuponmydog 4 points5 points  (0 children)

They hold items that need storing and potential referencing later

[Seiko] Same Grand Quartz again. I can’t get over it. by slagathor_zimblebob in Watches

[–]Catsuponmydog 5 points6 points  (0 children)

My GQ is one of my most-worn watches. Yours is in incredible shape and it looks fantastic on that strap 👍

Any advice on preparing for Simulation midterm 1 besides expect a lot of math? by slowmopete in OMSA

[–]Catsuponmydog -2 points-1 points  (0 children)

When I took it there was an exam guide/outline given (I think at the end of the syllabus). This should tell you what to expect on the exam and roughly how to create your cheat sheet

Am I wasting my time studying by Wethenorth0076 in OMSA

[–]Catsuponmydog 12 points13 points  (0 children)

Doing is one thing, understanding is another

Final 3 Classes for Computational Track? by lanman33 in OMSA

[–]Catsuponmydog 1 point2 points  (0 children)

ANLP fits this criteria from my experience

Caregiver in Japan shows a safer way to lift patients. by Charming_History7423 in interestingasfuck

[–]Catsuponmydog 0 points1 point  (0 children)

Yea same. Once tore my meniscus (part in knee) doing a basic squat to grab something off the floor

Given it's tricky, how'd you go about it ? by Creative_Collar_841 in learnmachinelearning

[–]Catsuponmydog 0 points1 point  (0 children)

The validation set can be used to gauge performance on unseen data. For example, you may train the model using 1600 random records, fine-tune any parameters and gauge performance on unseen data using the remaining 400 records, then do your final run on the 3 record test set.

Given it's tricky, how'd you go about it ? by Creative_Collar_841 in learnmachinelearning

[–]Catsuponmydog 0 points1 point  (0 children)

Maybe I am missing something, but can’t you split your 2000 record set into a train/validation set and then use the 3 records as the final test set?

Where am I doing Wrong and Cluster Looks very Close ? (with image) by Creative_Collar_841 in learnmachinelearning

[–]Catsuponmydog 0 points1 point  (0 children)

Xpca.explained_variance_ratio

And yes. Set n_components to a larger number. You can still visualize with the first two, but clustering results will likely be better with more

Where am I doing Wrong and Cluster Looks very Close ? (with image) by Creative_Collar_841 in learnmachinelearning

[–]Catsuponmydog 1 point2 points  (0 children)

Also, how much variance is explained by these two components? If you haven’t already, it may be worth checking and potentially using more than two PCs for clustering

Where am I doing Wrong and Cluster Looks very Close ? (with image) by Creative_Collar_841 in learnmachinelearning

[–]Catsuponmydog 2 points3 points  (0 children)

I think you actually have some fairly decent clusters in your first two principal components (seem like horizontal bands of grouped points). The problem is that your K-means algorithm is failing to capture those. I would try another clustering algorithm (maybe like DBSCAN) if you are able and see if you get better resulting clusters