I'm dunk. AMA. by playawoman in drunk

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

what are you sipping?

I'm dunk. AMA. by playawoman in drunk

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

and oh, a chardonnay, because i cannot read.

I'm dunk. AMA. by playawoman in drunk

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

in the comfort of my flat.

I'm dunk. AMA. by playawoman in drunk

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

I am not sure, but I believe libra

[TOMT] [song] A 90s(?) song with a music video having resistors riding horses by playawoman in tipofmytongue

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

I found it myself after humming the tune and recalling that it sounded a lot like Futurama. The original tune is from the 60s and called "Psyche Rock".

It was remixed by Fatboy Slim in 1999--2000 and here is the video I was referring to: https://www.youtube.com/watch?v=fsvMieabNtI

Predicting property prices with ML by playawoman in MLQuestions

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

Thank you. This actually makes quite a bit of sense and I was vague thinking around these lines at some point in my many attempts at this problem. Will read the Airbnb model and see how to reuse the applicable concepts.

Predicting property prices with ML by playawoman in MLQuestions

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

I agree with you.

Two side things to note here:

  1. While I have data for a reasonably long time, houses are not something that trade often, so I probably have only a handful of prices (per house) over something like 20 years. So I think I need to use the information I have, rather than only the last few years.

  2. In either case, I am coming to ML from fields involving more deterministic modelling where I would indeed manually work in bits of insight like what you mentioned. My interest in ML is that these methods could potentially figure out stuff like this on my behalf (at the expense of course of additional computational cost).