Data Science Uncut - Data Shootout Kaggle Competition (Aug 1 2022 Stream)

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In this Data Science Uncut we look at the Bundesliga Data Shootout kaggle competition. This is a rebroadcast of a twitch stream where we talk data science, machine learning and coding in python.
Follow me on twitch for live coding streams: / medallionstallion_
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* RU-vid: / @robmulla
* Twitch: / medallionstallion_
* Twitter: / medalliondata
* Kaggle: www.kaggle.com/robikscube
#kaggle #python #livestream

Опубликовано:

9 авг 2022

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Комментарии : 52

@elitecoder955 Год назад

Just started with Machine Learning 2 months ago and already amazed with what you can do with ML/AI , you guys are really Online Teacher's are really inspiring a new age of engineers . Thank you so much

@robmulla Год назад

Great to hear! These live streams can sometimes be all over the place but I'm glad you find them useful!

@wilsonsantosmarrola1251 Год назад

it´s so nice to see you decoding... it show us how we must study and the most important be curious and not be afraid to see and work with something which is not familiar to us. Greatings from Brazil!

@robmulla Год назад

Absolutely! Thanks for watching.

@alexdelaiglesia1926 Год назад

Happy to see these uncut videos also on RU-vid!

@robmulla Год назад

Glad you like them!

@vivekpadman5248 Год назад

This stream was soo great. Please keep posting more of such unedited streams, I love it 😍.

@robmulla Год назад

Thank you! Will do! You should also check them out live sometime if you can. I've been streaming to twitch & youtube from time to time.

@Ian-yi7ks Год назад

Just found your videos, they are amazing! Thank you for your work :)

@robmulla Год назад

Thanks for watching. I appreciate the feedback.

@yantran-forfuture373 Год назад

Do more of this as we can learn to start and go through the problem / competition as a beginner. Thanks for these uncut videos

@robmulla Год назад

Glad you like it. Thanks for watching!

@yantran-forfuture373 Год назад

@@robmulla Hey, also it would be good if you livestream for the recent updates regarding the competition, discuss personal or other's developments. Or else many of us come to dead-end after a point for competition like this. Thanks !!!

@romainmagnet3769 Год назад

Love this concept ! Thank you ;)

@robmulla Год назад

You're so welcome!

@tplayt5094 8 месяцев назад

deep sort's kalman filter assumes constant velocity and acceleration, it also assumes linear motion, so the ball suddenly changing movements messes with it a lot.

@rodrigoguimaraes3690 Год назад

Thank you for the content.

@robmulla Год назад

Thank you for being you!

@bwowekeith4472 5 месяцев назад

Time really flies, watching this on 2nd Jan, 2024

@subwaysnacker Год назад

Interesting, thank you for your thoughts and insight! FYI, the Twitch streamer Skalskip is doing an ongoing deep dive on this challenge now.

@robmulla Год назад

Oh cool. Thanks for watching.

@raphaellagarde9060 Год назад

For the time of every event you can calculate the difference between "time" and "time" shifted by 2 periods (every event from the start to the end takes 3 rows in the df...)

@robmulla Год назад

Interesting like df['time'] - df['time'].shift(2) ?

@Kongsoon_shorts Год назад

I'm watching from South Korea. it is very helpful. Thanks. Someday I wanna join the streaming.

@robmulla Год назад

Awesome! Thanks for watching, hopefully you can join one in the near future!

@jti107 Год назад

wow pretty cool…didn’t realize you were on twitch!!

@robmulla Год назад

Thanks! I've actually been on twitch longer than I've been making youtube videos!

@codebond Год назад

Hey its really interesting concept to follow along competitions live just found your channel would love be in the journey further. Any guidance for someone who has attended few competitions already and wanna boost rank further.

@robmulla Год назад

Thanks for watching. There are a lot of tricks to improve your model but most of the time you just need to test different ideas.

@caiyu538 Год назад

I used this datasets and published a conference abstract.

@mustaregis Год назад

ML beginner here, so I have a noob question: why do you prefer to work on jupyter lab instead of doing it on a kaggle notebook? Specially since you have to manually download the data and store in your local storage vs having it accessible in the cloud. Thanks!

@robmulla Год назад

Mainly because the notebook will log off after a while and tends to crash more often. Also my machine is much faster.

@isidaruk1408 Год назад

What color theme do you use for Sublime? Is it Nord?

@robmulla Год назад

Do you mean my jupyter lab theme? It is nord! I installed it from the jupyterlab-themes package. Thanks for watching.

@anggafebrian2279 11 месяцев назад

OMG, you soo expert...

@jhxu8071 Год назад

nice video👍👍👍

@robmulla Год назад

Thanks for watching! 🙌

@leticiafariasvieira Год назад

nice video, im a cc student and i very interested in area. Greatings from Brazil!

@robmulla Год назад

Awesome, thank you! Glad you are interested in data science. It's a lot of fun!

@caiyu538 Год назад

Great

@ankitmoura1467 Год назад

Can u give some tips for the people who r new in kaggle?

@robmulla Год назад

Thanks. I have a video on how to get started with a kaggle competition. I'd suggest checking it out!

@idrisstchoupetafo Год назад

very very amazing. please Mr can you share your dataset with me??? it is not available on kaggle

@robmulla Год назад

Thanks for watching! The dataset should be available through kaggle here: www.kaggle.com/competitions/dfl-bundesliga-data-shootout/data

@idrisstafo2095 Год назад

@@robmulla once again, thank you very much sir. but it is impossible to download the dataset before december 25th (because the deadlines for joining the competition have expired). in fact, in the video you have made a download of the dataset. That's why i was asking if it's possible to share it

@idrisstafo2095 Год назад

@@robmulla please sir do you have any idea on how to detect shot and scene changes in a video?