Kaggle Competition Prep! - Exploratory data analysis with Pandas and Seaborn

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Daily coding live stream, today working on:
- Reviewing our dataset to get it ready for modelling
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
#machinelearning #ai #python

Опубликовано:

30 сен 2024

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Комментарии : 32

@ingluissantana 2 года назад

Yes do more Kaggle stuff Nicholas!!!! :D Thanks!!!!

@NicholasRenotte 2 года назад

Done!! I’m loving doing it atm, so if you are too, I’ll happily oblige!!

@pitter6636 2 года назад

OMFG!. I want to see more about the IBM Cloud Pak for Data, what models does it evaluate, and how the code is shown to you. This is sooo impresive

@NicholasRenotte 2 года назад

😊 you got it!

@henalon2815 2 года назад

People are doing crazy things in kaggle competition. If you can explain competition winners notebook line by line that would be awesome thanks for your support.

@NicholasRenotte 2 года назад

You got it! Any suggestions?

@theforester_ 2 года назад

that's awesome. big shout out from brazil

@sayelfujael6378 2 года назад

Thanks Nicholas!

@NicholasRenotte 2 года назад

Anytime!!

@tech8720 Год назад

Can you explain - solve this competition (Kaggle Data Science for Good: City of Los Angeles) just EDA part i saw the solution but the converting part from 60 txt filed to csv it's difficult for me and can you do some virtualization or pandas groupby .... etc

@lsorooshl 2 года назад

Learnt a lot from this video! Thanks

@0311andnice 2 года назад

Yes, we like Kaggle streams.

@bryanmayfield3136 2 года назад

So the product that you are selling to companies/clients is actually decreasing the demand for data scientists? Interesting...

@souhaildahmeni9961 2 года назад

Very insightful !

@Siluno 2 года назад

Great session Nicolas! Keen to see the memory path you mentioned in this session

@NicholasRenotte 2 года назад

Cheers Neal, I cover a bit of it here ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-mqG5K9YjjhA.html going to revise then probs do a full stream on it!

@BharathSaiS 2 года назад

IBM cloud Is like a magic wand for ML🥰

@NicholasRenotte 2 года назад

💯 definitely helps kick things off

@MrDacruz19 2 года назад

Please do more of this! You gained a sub! 👨‍💻

@p.s_kev.in96 2 года назад

Another area I found notebooks useful is tearing down the results of an external API that you use to gather data from during data gathering stage of your project

@NicholasRenotte 2 года назад

100%, definitely great for exploring responses!

@brightlights8724 2 года назад

You mentioned the 'monster memory path' which you memorized if i didnt hear it wrong. Would love to hear more and know about it, thanks! you're awesome btw!

@NicholasRenotte 2 года назад

Yah, I’m going to go revise it a bit then will do another end to end stream on it. I cover a bit of it here ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-mqG5K9YjjhA.html