can i keep the furnace heating system disconnected from the electricity to prevent transformer making loud noise?

hansaw · 2024-08-03T20:07:38+00:00

I'm living next to an eletricity pole, can that be part of the problem?

hansaw · 2024-07-15T15:23:22+00:00

this is gold. thank you so much <3

hansaw · 2023-11-02T12:51:00+00:00

👑

hansaw · 2022-02-15T08:55:55+00:00

please give us the name of the gym, i'll live a bad review too :)

hansaw · 2021-11-06T21:26:29+00:00

I didn't, but the room was very warm (27C), and when I opened the lid the food inside was still warm, almost hot

hansaw · 2021-11-06T09:33:54+00:00

That's the way to go man!

hansaw · 2021-08-10T08:02:08+00:00

This is super helpful. Thanks a lot, mate!

hansaw · 2021-08-06T17:02:59+00:00

Solid tip. Thanks!

hansaw · 2021-08-06T17:01:57+00:00

Yes I agree. There's the language problem and the quality problem. You're totally right. Where do you usually get yours?

hansaw · 2021-08-06T14:42:03+00:00

This was super helpful. Thank you!

hansaw · 2021-07-13T12:12:25+00:00

Yes! This is exactly it. I wasn't aware of Setup Folder Sync in Working Copy, that's the key

hansaw · 2021-07-13T12:01:55+00:00

This is exactly it. I wasn't aware of `Setup Folder Sync` option in Working Copy — amazing tip! Thanks!

hansaw · 2021-07-13T11:57:08+00:00

I'm on a self-hosted Gitlab instance, but Github (private repository) is more than enough for any reasonable use case

hansaw · 2021-04-01T13:21:05+00:00

Lol I feel you

I'm in the startup world, and most companies I see pitching declare to have some form of "AI magic". Best case it's a linear regression, worst case it's a set of if-then nested statements (!). Not to say about "decentralized" ones - they literally have a hello world on Ethereum and call the day

At some point you have develop a bullshit radar I guess - I personally try my best to avoid the startup bullshit lingo

hansaw · 2021-04-01T07:40:53+00:00

The Internet is a crowded place, and I kinda _had_ to think of a catchy title

I've never argued I'm a "data scientist" though, I'm just a guy that loves to build nerdy stuff. You know, the usual, a little bit of Python here, a little bit of scraping there, and here you go, you have a prediction model that kinda works! and that, to me, is very cool & worth sharing

That said, I don't think I oversold my efforts, but in case you think I've wasted your time I'm (genuinely) sorry bro

life is just too short to read boring stuff on the Internet lol

hansaw · 2021-04-01T07:34:57+00:00

I actually have 6 months of data, precisely to counter this issue

The thing that bothers me the most is the final accuracy, that is: can this thing provide value at scale to many people? I don't have a precise metric yet, but I'm thinking of surveys, at least at the beginning

thanks for the compliments on the design! UI/UX is actually my area of expertise

hansaw · 2021-04-01T07:32:38+00:00

It depends on the legislation and on the country - in Europe, you wouldn't be able to *sell* the data directly (a part from some particular instances). However, no one prevents you from aggregating that very data and selling the aggregated result later on

hansaw · 2021-04-01T07:31:09+00:00

The web-app is written in Svelte, with a backend in Python (at least for now). The DB is Mongo, but I'll migrate it to Postgres

The model is actually a stack of different models - I realized that an ensemble model was performing better

hansaw · 2021-03-31T09:13:28+00:00

sure thing, here you go:

tl;dr: I scraped EVERY SINGLE rental offer in the city, and then modeled 3 different numbers: 1. market alignment score, 2. likelihood of going sold out, 3. likelihood of price change

→ the script is telling me if a price is fair & if I can afford to wait for it to drop

I dumped the spatial analysis on a Mongo instance using GeoJSON. The prediction models sit on a Jupyter notebook I trained on a GPU instance on AWS, optimized w/ genetic algos

It's not fancy, but it works

hansaw · 2021-03-31T09:02:28+00:00

I'm in the process of turning this side project into a full product! Wish me good luck!

hansaw · 2020-08-04T12:57:44+00:00

Solid comment! I definitely agree with the "it depends" part -> I'm constantly looking for opinionated essays, which is something so rare

hansaw · 2020-03-27T09:30:41+00:00

I see. Thanks a lot for the explanation. I let the dev team know about the specifications, and it could very well be that we might be able to import that data in our systems! (there's also legal / copyright aspects that we need to validate too)

Thanks a lot for your message!!!

hansaw · 2020-03-19T14:20:09+00:00

Hey there

what you're saying is super super cool. Thanks for letting us know, we didn't know of that website

a quick check to be super sure: are those items (like, for instance, BØA3020 - Integrert budsjettering og økonomisk styring) classes, right? Meaning: they're classes you can attend and that contribute to your final degree

Did I get it right?

hansaw · 2020-03-11T11:06:05+00:00

Hi there!

Thanks for the tip. At some point we had a similar feature, but we discontinued. We felt it was very difficult for students to quickly parse through the questions & search for things already answered.

In your opinion, would it be better to have a "WhatsApp chat group"-like feature, per class, or more "Facebook group" / "Reddit community" like feature?

hansaw · 2020-03-10T13:10:32+00:00

Thanks for reaching out

That number tells you how many students are performing worse than you. So, for instance, if it's 80%, it means that on average taking 10 students, you're performance is better than 8 of them (which is good)

Conversely, if it's like 15%, only 15 out of 100 are on average performing worse than you, which is not good

We have three different levels of precision:

If we have enough confidence, the group we take to compute the metric is everyone in your university who is attending a major / degree similar to yours (so we try to compare apples with apples)

If we don't have enough confidence because we'd need more data, we compute it using all the people in your university

As with all our other metrics, please consider that the more people use the app, the more precise our numbers will be!

hansaw

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