วีดีโอ

How can I dynamically change the color of traversed nodes to green once they are visited by the delivery truck? I think that would be more interesting.

I think it’s not accurate

Haley Manors

I want to make parameter selection before making future predictions in multivariate hourly time series. I can do it using xgboost in the video, but is there a model that can do it by trying the variables that increase the prediction the most instead of feature importance. For example, consider the variables x1,x4,x7 that give the highest prediction power. I am trying to make time series with LStm.

Thank you for the video it was helpful. can I please get the csv file

thank you for the video and explanation, it was very usefull and i learned a lot, but i do have some questions, on 13:47 how could i make sure that the KM traveled are accurrate, because it does not seem that way, 7km seem way less than the actual distance traveled, i tried to measure the distance but failed to do so, how can we be certain?

Interesting how NLP became a subset 😂 bro Gen AI is the subset of NLP but not the other way round. Although it is good overview

Great 👍 How i can add another variable like cbm and weight for the goods

عودة حميدة

Welcome back 💪🏻🤩

My dear! Don't forget to "Subscribe" to get new updates!

th-cam.com/video/3BElE6YRgIM/w-d-xo.htmlsi=5_CVuvEmqU-zxcL-

You might also want give timefold a try. It's another open source library for route optimization. There's a quickstart for vehicle routing in Python.

Keep it up

Well done

I have a query: does non-supervised learning look similar to deep learning? In both, we only provide input, and they generate output. Non-supervised learning is used to identify user patterns and create recommendations, while deep learning involves decision-making power similar to humans. I am not getting clear difference here. Does NSL only provide recommendations and no decision making done?

A neat and clear explanation, expecting more from you on AI

Nice video, where did you get the datasheet from?

It looks very interesting. May I please have the CSV file, sir?

It is a good idea to think about publishing something useful to the community. You need good channel promotion.

This is surely insightful!. Welldone. Would be really helpful for my masters project on sports analytics!.

To be able to clearly explain thing and directly deliver information on a subject is such a gift.. thank you bro

Nice & to-the-point explanation.

Good hints sir 👌🏻

Great explanation...

Nice video

You make it clearer 👍🏻

Nice and easy explanation differentiating between AI models 👌 Thank you brother

valuable information! 👌🏻

Interesting topic, thank you for sharing this valuable information with us

I didn't tried it out yet, but you explained it so well so i think I going to try it out, i will write if it worked for me, but really great video so far, thanks

Best practical application. Thank you very much ❤

Excellent practice

Great project. It really helped

Great idea bro, sharing with us the process of building a skin tumor classification app 👏 Thank you 🤝

I like ur kind of vedios !! Go ahead sir👍🏻

Thank you 🤩

Great , it is helpful 👍🏻

hi bro links in the description are not correct

Wow thank you for your explanation but I have a question 😬 Can this model detect the damage from multiple items in the same picture, and from different angles?

good job ❤

Good one 👌