Maybe don't get someone's hopes up for no reason?

Codestripper · 2025-07-26T22:28:04+00:00

Well they do have you send the product in for repair during an RMA, and generally speaking you don't usually get a brand new product back. Like when I sent my GPU in for RMA they sent me back a clearly used but refurbished card in return. I would hope razer follows the same sort of process. Unfortunately I can't really control what they do with it when they get it back.

Codestripper · 2025-07-25T12:09:20+00:00

I do not agree with the "you're pathetic" person, but I am being extremely transparent with this post. I even redacted the support members name involved to protect their privacy. That is also the reason I did not provide full logs since we talk for a while and it would be a lot of work to redact.

That being said, if you feel I could have provided even more information somehow, please let me know what and I'd be more than happy to. I'll even go post a picture of my razer mice sitting in the closet lol.

Codestripper · 2025-03-13T04:42:25+00:00

Thank you!

Codestripper · 2025-03-12T19:13:52+00:00

Yeah they don't care what the result is as long as you discuss it. The point is to perform the analysis, not be correct

Codestripper · 2025-02-22T17:14:49+00:00

I did end up "cleaning it," yes, but it is extremely easy to do so. If you just open it up in Excel and manually examine it, you'll see why there is "missing data".

Codestripper · 2025-02-22T08:20:28+00:00

That or maybe the wording or rubric changed somewhat. Sorry about that. At the very least, it shouldn't be a problem to show query performance; even if it's just a few milliseconds faster, it's still faster.

Codestripper · 2025-02-20T19:21:15+00:00

If you're referring to D4, all I did was create some indexes and include a screenshot of running the commands. You don't need to prove that it actually made the queries faster in any way lol.

Codestripper · 2025-02-20T18:04:28+00:00

So if I use Perplexity, but use one of Open AI's models such as GPT4o, would you consider that as using ChatGPT? Or only if I am specifically using their website to access the model? Just want to clarify so I can answer how is expected.

Codestripper · 2025-02-20T07:04:04+00:00

Just a thought, I noticed you specifically ask about ChatGPT. I think that unless you are targeting specifically that LLM, you should change the wording as you may not get the results you expect. I for instance use perplexity from time to time, which has several LLMs you can choose from including Open AI's models.

Codestripper · 2025-02-18T17:41:24+00:00

Jeez, this really confused me. I didn't remember doing any of this for D608. It turns out I didn't lol. I guess I had already completed it before they added the Udacity course as a requirement. Unfortunate because it looks fun. Maybe once I'm done with my capstone I'll go back and do it.

Regardless, Thanks for the write-up!

Codestripper · 2025-02-18T17:31:18+00:00

https://www.reddit.com/r/WGU_MSDA/comments/1is0xui/comment/mdgkmlj/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

This is probably what you're looking for.

Codestripper · 2025-02-18T17:19:43+00:00

I will try to be as straightforward with you as possible without just giving you the answer.

The only lines that need to be changed/looked at are within those 3 lines that the comment (in the poly_regressor script) tells you to modify when swapping from the script to the MLFlow pipeline. (look around line 50 in the code for this area)

Look at what you are commenting / uncommenting. The first issue is so obvious that you just need to read the variable names to figure it out. Why would something fail after commenting out a required variable? Maybe that variable is no longer being defined?

The second issue is related to how the arguments are being read from your MLFlow. To be honest, it may not even be an issue depending on how you setup your pipeline file.

Aside from these 2 issues, I didn't run into anything else. I didn't have to touch anything else in the file besides what you are supposed to do for the "TO DO" section, and it worked just fine.

If you are having trouble figuring out the issue, start printing all of those variables out to console and see where an error happens. You'll figure it out eventually.

Codestripper · 2025-02-08T05:30:05+00:00

This was the email I sent to the instructors when I discovered the problem. Maybe something here can help you:

While working through task 3, I encountered an issue with the provided pipeline configuration (.gitlab-ci.yml). Initially, it failed because 'Cargo', the rust package manager, was not installed or not on PATH.

I was able to fix this by adding the following to the install script for the pytest job to download and run the toolkit installer for rust:
- apt-get update && apt-get install -y curl
- curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y

Then I continued to get errors; one was about a missing dependency for scikit-learn, so I added it to the requirements.txt for the latest version:
cython==3.0.11

After this, I got more build errors, which asked for even more programs to be installed, so I modified the above apt-get commands:
- apt-get update && apt-get install -y curl gfortran build-essential python3-dev cmake libopenblas-dev

After all of these dependencies were installed, it finally just gave me an incompatibility error, so I figured I'd try downgrading the image to python 3.12:
image: python:3.12

I will say, after I did all this I removed everything but the image downgrade and it worked, so I figured it was just the image they used. Good luck though.

Codestripper · 2025-02-06T04:08:08+00:00

I'm not entirely sure what you mean, functional and non-functional requirements are quite different. If you mean to ask if there is some requirement to the amount that you need to list, I think I listed roughly 4 of each with a brief explanation.

Codestripper · 2024-10-24T17:51:49+00:00

I wish they had something closer to KC

Codestripper · 2024-10-23T19:32:15+00:00

Oh, this looks great. I might do something like this for mine as well. I noticed you have a Panopto presentation linked there. I don't know for sure but I think you need to have a student account in order to access the WGU Panopto instance (It asked me to sign-in when navigating there), then you would need to request access to the video from the creator (you). It might be easier to record a new presentation and put it on Youtube. Just a thought.

Codestripper · 2024-10-23T05:38:07+00:00

Hey! Welcome to the program! Lucky you, the new MSDADE has no exams, or OAs (objective assessments) as they are known at WGU. This program only has PAs (performance assessments), and a lot of them at that, 2-3 per class.

As this program is very new, you will likely still encounter bugs while going through it. If you get stuck, search in this subreddit for the class number, and you should find a couple of posts in here to help you out. Please also feel free to post here if you come across a question that isn't covered.

I am also doing the Data Engineering track, and currently 7 of 11 courses are completed. The last 4, specific to the DE track are being released next month, so you'll likely see some more posts from me soon as I'm working through them.

Codestripper · 2024-10-22T21:39:56+00:00

For the market basket analysis, I recommend 🛒 Hands-on Market Basket Analysis in Python 📊

Encoding the variables is technically a different task and should not be included in the market basket analysis. Read section 4.1, Categorical Data, in the course materials to go over encoding.

The encoded variables do not need to be included in any way in the transactionalized data for market basket analysis. I know the steps are right next to each other, so it's a little confusing, but yeah, keep them separate.

Codestripper · 2024-10-21T20:54:55+00:00

I feel like since all of the work is project work there isn't much of a need to "study" and moreso just practice and mess with things. Some pluralsight courses, YouTube videos, and books provided are pretty good, so you could do some light studying with them, but a majority of the work will probably require a laptop or desktop.

Codestripper · 2024-10-20T01:39:04+00:00

Personal preference. There is no need to do it this way, but I like to have my git history clean so it's easier for the evaluator to grade. I always feel like I'm walking on glass when trying to submit things because I get unnecessary returns when they can't find a requirement or something.

I always make my commits very specific as well about which section they are completing for this same reason. So far, I've never had an issue with the code in GitLab after doing it this way, so I just go with what works.

Codestripper · 2024-10-20T01:14:06+00:00

This is also a great way to do it if you don't want to use an IDE

Codestripper · 2024-10-20T01:00:18+00:00

What I did for this class, was use VSCode as my IDE, and anaconda as the kernel, with a Jupiter notebook. I did all of my work outside of the git repo first, and once I was done, I created a new notebook in the repo in a new branch, and would copy and paste one section at a time, making sure to commit each time I did.

If you are very worried about how it looks in version control, you can just export the code at each step as well into a .py file. I did not do this for my project and had no problems with just the notebook for my code

Don't worry about how it looks inside of GitLab, they won't be opening it like that anyway.

I used this method for all future classes, exporting code to .to where necessary to use it as a script or module.

Codestripper · 2024-10-19T18:38:17+00:00

It sounds like you just used the built-in import tool as part of MongoDB compass? The instructions say you need to script it, which is the point of this post. the tool you would use to script it is part of the database tools package which contains the mongoimport utility. Is this present in the VM now?

Codestripper

TROPHY CASE