Hi everyone,
I wrote a starter notebook for using Deep Learning on the competition data. You can run it on Google Colab in almost 5 mins training time and make a submission with ~41 RMSE on public leaderboard. I believe there are many ideas you can apply to have a better score.
I added also some data exploration to enable anyone who still didn't start to understand the data easily.
You can find the notebook here. Let me know if you have any idea to improve it or any question about the code.
Just remember to give me a star if you like it, please. :)
Cheers.
Thanks for sharing Karim
You are welcome. :)
Thanks for sharing. Nice to see a different approach
Thanks. I hope it will be useful.
Thanks for sharing
Thanks a lot.
@KarimAmer Just a slight correction.
It's not true that "Air quality causes thousands of deaths in Uganda", thats a very wrong allegation. You may have to edit your problem description. Otherwise great approach to problem solving.
Thanks steph for your comment. I used the numbers from State of Global Air website. I apologize for not adding the reference in the notebook.
However, it is not a pleasent introduction anyway so I changed it. Thanks for pointing this out to me.
Karim, thanks for the notebook!
You are welocme.
Thanks for sharing! I love your approach!
Thanks for your kind words.
I fixed some typos in data exploration figures. I hope it is more clear now.