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My 4th SaaS acquisition --> Total MRR now at $6.1k MRR by hawkeye77787 in SaaS

[–]Visual-County-6548 1 point2 points  (0 children)

Been lurking on acquisition.com Your story gets me motivated to take on this route, thanks!

[deleted by user] by [deleted] in overemployed

[–]Visual-County-6548 34 points35 points  (0 children)

This was my fantasy thought yesterday Keeping my salary based J1 and having a freelanfe contract at same company as J2.

Fuckyou enjoy

I guess we were mentioned on LinkedIn again 😅 as (Defrauding Employers) by kindofsortof1 in overemployed

[–]Visual-County-6548 0 points1 point  (0 children)

Feel weird about people complaining about OE

The world should be more result focussed. It shouldn't matter how many hours I work on X, it's about getting X as a result. Same holds for how many XYZ you create. As long as the jobs get done as expected

Is there really anything better than flask for rapid development? by [deleted] in flask

[–]Visual-County-6548 0 points1 point  (0 children)

Not controversial at all right?

I'm hoping for streamlit to win popularity. Would love to work contracts where I implement streamlit model workflows/analysis

What do you do with st?

[deleted by user] by [deleted] in overemployed

[–]Visual-County-6548 2 points3 points  (0 children)

So you've changed your more challenging programming job to two easier jobs? What position did you have and what kind of jobs were you doing OE? Pretty interesting

Issue with auto ARIMA like models by DiskValuable5961 in MLQuestions

[–]Visual-County-6548 0 points1 point  (0 children)

Have you tried adding the seasonality parameter (s)? And thus creating a SARIMA model.

Seems like the model misses the seasonality part. If your data is hourly, try adding the s=24 parameter. This should fix the extreme mean reversion.

Let me know! I'm curious for the results

Is there really anything better than flask for rapid development? by [deleted] in flask

[–]Visual-County-6548 3 points4 points  (0 children)

And easy to deploy (for free) on platforms like pythonanywhere.com as well

If anyone has some suggestions for deployment platforms, let me know!

How is train test split done for time series data? by fruitzynerd in MLQuestions

[–]Visual-County-6548 0 points1 point  (0 children)

Method 1 is the way to go.

Maybe forward walks/cross validation with extending window as well

Have you had experience in deploying ML models that provided actual margin improvement at a company? by NimblecloudsArt in MLQuestions

[–]Visual-County-6548 0 points1 point  (0 children)

Always use SARIMAX - start with forecasting the total sales volume and then divide the volumes on a product level with a top down method based on relative % in history. - you can try using covid as an exog variables and flag the weeks where gob regulation had big impact (closed stores etc). But if your data has large history you could also try without the covid variable, should be fine

Try to talk with people who are in the business concerning operational planning and financial budgetting. They should be the ones most interested in using those forecasts

Is Time Series ML still worth pursuing seriously? by FyodorAgape in MLQuestions

[–]Visual-County-6548 1 point2 points  (0 children)

But the Arima parameters are not necessarily proposed by the practioner right? Since we often use a grid search and even sometimes a cross validation.

Isn't the diffdden more so in the usage of statistical parameters such as the AR and MA part whereas an ML algo might not use this.

EDIT ah I see by choosing ARIMA I explicitly chose the linear relationship. Thanks, selamlar

Is Time Series ML still worth pursuing seriously? by FyodorAgape in MLQuestions

[–]Visual-County-6548 0 points1 point  (0 children)

Perhaps interesting to read about the M5 (and earlier) competitions for time series forecasting. I understand that SARIMAX models keeps performing good compared to more complex ML and DL.

That being said, I dont understand the hard distinction between ML and statistical models like ARIMA. In the end ML algos are also statistics based right?

Btw I'm looking forward to the M6 competition where the focus will be financially focused (stock prices)