Category: Other Nonsense & Spam

How To Treat Features Of Different Types

Hello there, I have a medical dataset in which some features are numeric, while others are categorical. With “categorical” I mean that these features are natively encoded with ordinal integer encoding, such that every possible value is represented as an incremental integer value. It is important for you to know that this dataset has been obtained as part of a survey, so that every categorical value is referred to different types of answers such as “never”, “sometimes”, “a lot of the time” and so on. I have to apply a MLP to this kind of data and I know that in order to do it I first need to scale data. Question is, do I have to scale all features without regard to categorical ones or do I need to scale only numerical variables applying One-hot encoding to the others? I was also wondering if it is necessary to apply one-hot encoding to categorical columns or if I can leave them as they are, applying standardization only to the numerical variables.

submitted by /u/NathanDrake27
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Maryland State-wide Crashes From 2016-2022

Came across this pretty popular dataset on Maryland Crashes from 2016-2022. Check it out here:

https://app.gigasheet.com/spreadsheet/Maryland_Statewide_Vehicle_Crashes-csv/b7adbcb2_55fb_455d_9037_8e44e222a5cf

From these findings, it’s pretty clear that:

Baltimore county (not city) has the highest number of crashes at 156K incidents, with 2018 being the highest year for accidents. The Baltimore Beltway seems to be the highest place for these incidents, with 2.2K incidents occurring over the course of 2016-2022. Yikessss. The Capital Beltway has the highest # of incidents, sitting at 22K Marylanders tend to hit other cars and objects on the road the most but have the least amount of incidents at U-turns (surprising!) The lowest county with crashes is Kent County

View Data: https://app.gigasheet.com/spreadsheet/Maryland_Statewide_Vehicle_Crashes-csv/b7adbcb2_55fb_455d_9037_8e44e222a5cf

Source: https://opendata.maryland.gov/Public-Safety/Maryland-Statewide-Vehicle-Crashes/65du-s3qu

submitted by /u/sheetheadd
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What Are The Essential SQL Skills For Senior Business Analysts?

Hello everyone,

I am currently pursuing a career as a Senior Business Analyst, and I know that having a strong understanding of SQL is essential for this role. However, there are so many aspects of SQL to learn, and I’m not sure where to focus my attention.

I would like to know from those who work as Senior Business Analysts, or those who have experience working with them, what are the best aspects of SQL to learn for this position? Which SQL skills do you use the most in your day-to-day work, and which ones have been the most valuable for you?

I appreciate any insights or advice you can offer, and I look forward to learning from your experiences. Thank you!

submitted by /u/LampRunner
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Looking For A Dataset To Train A Chatbot For Recommending Solutions To Java Application Log Errors

Hello everyone,

I am currently working on creating a chatbot that can recommend solutions to log errors that occur in Java applications. To do this, I need a dataset that contains examples of log errors along with their corresponding solutions. I am hoping to find a dataset that is large enough to train a machine learning model to accurately suggest solutions based on the log error message.

If anyone knows of a dataset that would be helpful for this project or has any suggestions on where to find one, I would greatly appreciate it. Any information or assistance would be extremely valuable to me.

Thank you for your time and consideration.

submitted by /u/Farjou69
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HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK

HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK HOLY FUCK

No, Ruslan, That’s Not How It Works.

No, Ruslan. Don’t drink the whole bottle because they told you so.  No, Ruslan. It’s not a good idea to swing of the roof. Ruslan, don’t cling on heavy machinery while rolling downhill. Don’t try to impress the women, Ruslan. Ruslan, listen to me. I can help you.

Niggas In Sichuan

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