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

Rob Mulla
Rob Mulla
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0
2022-08-10に共有
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: www.twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code:    • Make Your Pandas Code Lightning Fast  
Speed up Pandas Code:    • Make Your Pandas Code Lightning Fast  
Intro to Pandas video:    • A Gentle Introduction to Pandas Data ...  
Exploratory Data Analysis Video:    • Exploratory Data Analysis with Pandas...  

Working with Audio data in Python:    • Audio Data Processing in Python  
Efficient Pandas Dataframes:    • Speed Up Your Pandas Dataframes  

* Youtube:    / @robmulla  
* Twitch: www.twitch.tv/medallionstallion_
* Twitter: twitter.com/MedallionData
* Kaggle: www.kaggle.com/robikscube

#kaggle #python #livestream
コメント (21)
  • @elitecoder955
    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 <3
  • @wilsonsantosmarrola1251
    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!
  • @yantran-forfuture373
    Do more of this as we can learn to start and go through the problem / competition as a beginner. Thanks for these uncut videos
  • @vivekpadman5248
    This stream was soo great. Please keep posting more of such unedited streams, I love it 😍.
  • @Ian-yi7ks
    Just found your videos, they are amazing! Thank you for your work :)
  • @subwaysnacker
    Interesting, thank you for your thoughts and insight! FYI, the Twitch streamer Skalskip is doing an ongoing deep dive on this challenge now.
  • @tplayt5094
    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.
  • @raphaellagarde9060
    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...)
  • @Kongsoon_shorts
    I'm watching from South Korea. it is very helpful. Thanks. Someday I wanna join the streaming.
  • @jti107
    wow pretty cool…didn’t realize you were on twitch!!
  • @codebond
    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.
  • @caiyu538
    I used this datasets and published a conference abstract.
  • @mustaregis
    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!
  • @leticiafariasvieira
    nice video, im a cc student and i very interested in area. Greatings from Brazil!
  • @Rapha_Carpio
    Suggesting cutting a bit for YouTube; Or add a timestamp please