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July 2021, DSR graduation presentation :)

Fascinating - I love what you are doing!

Hi, I'm a TH-cam Channel Growth Specialist. I want to discuss your Channel Problem & Solution. I have a lot of experience TH-cam Growth. I’m highly interested in connecting with you to chat about growing your Channel. Have a nice day, Thank you

杜娟😀

can we get the github link for the above implementation?

Why are you not present the model developing by using TensorFlow/Keras and Scikit-learn

Source code

Do you have a prototype of the dl model? Intrested in it

Great project!

Hello, thank you for your great work

what were your key variables needed to forecast fuel price?

good job and nice t

I use hockey reference for the schedule/results and natural stat trick for stats (highly recommend but player rosters can get jumbled… team abbreviations not in correct indexes/positions). Idk shit about ML yet but a Poisson distro has worked fairly well for me so far… similar %s when looking at results (~60%). 91% seems insane to me… need to check that paper for sure. Good video. Need more TH-cam videos in this space so thank you!

💞 Promo*SM

is there a github repo for this project that we can fork ?

Great work

Nice, nice, nice !

Great work🎉

I was exited about the presentation but I can't listen to it of so many reasons...

Super fucking cool

The ironic thing is: I can't watch this video because the speaker is constantly smacking and breathing into the microphone

Can you please provide the source code of this project???

The most important takeaway: I learned how to learn!

Thanks a lot!

💋 𝙥𝙧𝙤𝙢𝙤𝙨𝙢

Very good

I'm curious, shouldn't there be a fairly straightforward linear relationship between global irradiance and the produced energy? Or maybe you have to consider diffuse and direct irradiance seperately, but still. I'd expect to produce the best results with simple linear regression, provided you have access to a forecast of the irradiance. But that's acailable via GFS or others, isn't it?

Pᵣₒmₒˢᵐ 😉

This is a great. Keep it up!

Amazing video. Does getting accepted into DSR mean the chances of chancen accepting you are high?

Very interesting body language may also help and what about sign language. As a add on project that might work on a phone as a translator.

Hello ma'am I need your help

I'd sell a kidney for this software. I don't have meals with my family anymore because of my misophonia

I am doing MSc Mathematical Statistics and my research is focused on this, how can I connect with you?

... THIS WILL REVOLUTIONIZE A LOT OF "INTEL" GATHERING type of services. THis will, expand into and eventually become one of the same of emotional AI.

Hello, I want to apply for Junior NLP Developer position. Could you please advice me projects for my portfolio?

I am PhD student how can I connect you

Thank you Dr Setareh for making this video. I'm a graduate of chemical engineering, I've heard an interest in data science since my first year of university especially how data can be used to build predictive systems but I always felt it was far different from what I was learning in Chemical Engineering. After watching this, I feel encouraged to take a slightly different path from the conventional Process Engineer. I'm nolonger afraid to learn new things and to make out my own path 😊.

when would it be out? my issue d be noisy neighbours. bass music. loud TVs of ignorant grandmas.

Fantastic work!

th-cam.com/video/UufQwUitBIw/w-d-xo.html&ab_channel=AcidsTeam-Ircam

what an eye-opening way to understand how, through machine technology, words can combine, recombine, and be repurposed to affirm that love is the knowledge of the right things-- a beautiful experience--

the sounds are really creepy XD but nice work

Awesome!!

موفق باشید،

Fantastic!

hi..can you help me by giving source code.... My final project is similar to this.. My final project is Translating Bangla sign Language... Please Can you share the code link please please ☺

3:26 you did me dirty

Hey there, nice approach 👍

My issues is unnecessary loud cars. People clicking a pen. As well as loud chewers.