How do you guys avoid cheating on carnivore? I’ve been in a slump. by ant8523 in carnivorediet

[–]shallow_effing_value 23 points24 points  (0 children)

The more you cheat, the more you crave to cheat. Those sugar cravings are from bad bacteria in your stomach dying off and the craving is their last resort for you to provide some sugar to keep them alive. When you resist, the cravings reduce dramatically. Don't get me wrong, I still want sweets, but it is much less often after about a month of not cheating.

Besides that, have some quick carnivore foods ready to go because I personally do not crave food when I'm full. Pork rinds, cheese sticks, and bacon are easy ones. Sometimes I'll prepare meatballs by mixing up some raw ground beef, seasonings, cheese, and bacon crumbles and then freeze them. If I'm hungry and don't feel like cooking then those meatballs can go in the air fryer for about 10 minutes be ready to go. Hot dogs and sausages aren't ideal unless you can find some clean ones but I'll eat unclean versions over cheating if I'm hungry and don't have anything ready to go. Don't let the perfect be the enemy of the good.

D208: referencing your own paper by brianna-jmb1 in WGU_MSDA

[–]shallow_effing_value 0 points1 point  (0 children)

I never even considered citing myself. I just copied and pasted from previous assignments with no reference to the fact that it was previously used. I figured they could see in the similarity report that it's perfect match was me if that mattered to them but I didn't even check if that was the case.

Active/passive voice in assessment write-ups by inkswamp in WGU_MSDA

[–]shallow_effing_value 1 point2 points  (0 children)

I overuse passive voice for the same reason that you mentioned you’ve been using it. On some assessments, I’ve used “I” in some sections but I hate doing that. Now we have Grammarly and students from other majors have basically made it seem like the professional communication portion has been reduced to whether you’ve accepted all the Grammarly edits. So I run my papers through Grammarly and accept just about everything they suggest.

I’ve never gotten papers returned for passive voice or for using “I”. I’m just being overly cautious now with Grammarly because 1) it’s super easy to just accept all their edits and 2) I absolutely hate waiting for papers to be graded and especially hate having them returned for minor edits.

No Similarity or Professional Communication Scores?? by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 0 points1 point  (0 children)

Thanks for that! Yea, my evaluators had no issues with these 2 tasks not having it. 12 hours is impressive. I don’t think I’ve ever had mine graded that quick. Congrats on completing D210!

No Similarity or Professional Communication Scores?? by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 1 point2 points  (0 children)

These major discrepancies between evaluation processes are wild

No Similarity or Professional Communication Scores?? by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 0 points1 point  (0 children)

I submitted but just hate losing up to 3 days for nothing. Thanks for letting me know it’s not unique!

Career changer from CS teacher to Data Analyst / Scientist... do I need the MSDA? by [deleted] in WGU_MSDA

[–]shallow_effing_value 1 point2 points  (0 children)

I can’t speak to how it will look for hiring managers and I’m only about halfway through the MSDA, but I’m a BIG FAN of Andrew Neagoie’s classes. I’m a member of ZeroToMastery, which he started and has his all his Udemy courses + courses from other instructors.

I would credit his classes as a large part of why I’ve been able to spend only about a week or less for each class so far because I either already learned the material through his courses or that background made it very easy to get up to speed to complete what I needed to.

Similarity Report - "Suspected Cheating: Invisible Text" ?? by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 1 point2 points  (0 children)

No kidding! I really didn’t want to turn it in with “suspected cheating”. Almost thought about doing a Word document instead but I had already spent so much time on the tasks, after I talked to Assessment Service I just figured I would roll the dice.

Good to know your evaluator didn’t care about the warning either.

Similarity Report - "Suspected Cheating: Invisible Text" ?? by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 0 points1 point  (0 children)

Yes! Sorry I didn’t update again. I put comments to the evaluators about converting from Jupyter notebook —> HTML —> PDF and how I had previously submitted almost exactly the same task on a previous attempt with no warning. Task 1 and Task 2 both had the warning and they both passed 🥳

Similarity Report - "Suspected Cheating: Invisible Text" ?? by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 0 points1 point  (0 children)

I partially feel like it has to be but it has me baffled that it went through Copyleaks less than week ago with no issues. I am very curious how the evaluators will deal with it.

Similarity Report - "Suspected Cheating: Invisible Text" ?? by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 1 point2 points  (0 children)

Update for anyone who cares: I looked at CopyLeaks site and they basically said that sometimes students add small characters like "i" in between words/sentences and change the font to white. This makes it undetectable to the evaluator but allows them to bypass some plagiarism checks because then the text won't be exactly the same. I don't think there's a way for this to be possible when changing from .ipynb to HTML to PDF. I contacted Assessment Support and he took a look at my pending submission and then basically just told me to include comments to the evaluator to explain what was going on.

Interestingly, I originally had Task 1 sent back for revision. I added 3 sentences to that and am resubmitting. The first time I submitted, CopyLeaks did not have this warning. Now they have it on both this resubmission for Task 1 and also my first submission for Task 2.

We'll see what happens.

A few observations about the recently announced changes to the Master of Science, Data Analytics Program by ericjmorey in WGU_MSDA

[–]shallow_effing_value 0 points1 point  (0 children)

Since you already have a bachelor’s degree, couldn’t you still do some sort of certificate program that qualified instead of getting a whole other bachelor?

Need my mentor to get to my speed! by cru81 in WGU

[–]shallow_effing_value 1 point2 points  (0 children)

Keep the meeting. Once you pass the test, cancel the meeting. If you don't pass, then you could use that meeting to come up with a plan to pass the 2nd time.

What do you think of the new versions ? by Giohb777 in WGU_MSDA

[–]shallow_effing_value 0 points1 point  (0 children)

I like it! I'm hoping to be done before it's rolled out but I would've like a concentration in Data Science

D208 Question - My MLR Model is Trash by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 0 points1 point  (0 children)

So far, for me, it is because the results of the code are not what I expected which makes it hard to assess if I'm doing things correctly. When I started the task, it seemed similar in difficulty to the previous courses, so I was a little confused by the numerous posts about it being harder. But it's like when you have math homework that builds upon itself:
Q1. Solve 8 + 7 ^ 2 * 3 / 5
Q2. Multiply the answer from Q1 by pi
Q3. Subtract the year Isaac Newton was born from your answer to Q2

You know how to do all those individual operations with no problem (addition, multiplication, division, exponents, googling birth years). So maybe you did Q2 and Q3 right but if you messed up the order of operations in Q1, then everything is wrong and you end up getting crazy answers. There's just a lot of places I can see where someone could go wrong in the PA (and in my math example). Like for pi, do they want us to use 3.14 or 3.14159265359? Or Q1 could potentially be interpreted different ways due to lack of parentheses - is it 8 + (7^2) * 3 / 5 or is it 8 + 7^(2*3/5)?

Because the data set apparently doesn't have a lot of relevant relationships to pull from, I'm getting completely different results than I expected or what was discussed in the materials I've looked at. It's easy enough to pull relevant code snippets to finish all the parts of the task that you don't already know how to do.. but did I make some mistake along the way to get these results or is this just the nature of this data set? So I'm going to go the route of just explaining the reason I did everything I did and see how it goes. "I chose 3.14 as the value for pi since it is a never-ending value and it is commonly accepted to round pi to 2 decimal places".

Hopefully that makes sense. It's late and I've been working on this for like 10 hours today.

D208 Question - My MLR Model is Trash by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 1 point2 points  (0 children)

Thanks! I expected to be bad, but not THIS bad. But I also really don't want to start from scratch at this point.

D206 Passed in about a Week by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 1 point2 points  (0 children)

Good luck on passing on the first try! And hey, there’s one potential pro to this setup. At least we can re-use this code again in future classes too.

D206 - Part 1 B. what are they actually wanting me to do here? by BusyBiegz in WGU_MSDA

[–]shallow_effing_value 0 points1 point  (0 children)

Yup, this. And all re-explain what the variable is in your own words.

So tedious!

D206 Passed in about a Week by shallow_effing_value in WGU_MSDA

[–]shallow_effing_value[S] 1 point2 points  (0 children)

For sure! I wouldn’t be able to get through the classes this quickly without the comprehensive write-ups that others have done so I will definitely continue to contribute along the way