Looking to learn about Machine Learning? Join in for a hands-on experience with EEE Datathon Challenge in collaboration with MLDA@EEE! 🤟🏼🥳 Code your own data model using skills picked up from MLDA's very own tutorial videos! 👩🏻‍💻🧑🏻‍💻
Sign up as an individual or a team of not more than 3 via https://tinyurl.com/NTUEEEDatathon! 👈🏼👈🏼
Date: 9 May - 23 May 2020, 2359
Submission Deadline: 05/23/2020 11:59 PM SGT
✨ How to participate ✨
1. Follow the NTU EEE Instagram page @ntueee!
2. Complete watching the series of the 5 introductory videos on MLDA@EEE youtube channel to get you started on your very own machine learning project 👾
3. Upgrade your skills with 3 💫bonus videos 💫 on MLDA@EEE's youtube channel covering more advanced topics like CV, NLP and CNN!
Watch them ALL in a playlist: https://www.youtube.com/watch?v=FgTpL-8gouE&list=PLXpIV63PRtvV0i00XYqfj2_mOjp8kt4ti
On 15th May: 
✅ datathon challenge dataset
✅ instructional video 
will be released!
✅ scoring board on Kaggle will also be updated daily 
👉🏼 Stay tuned for updates on @ntueee on Instagram!
Watch them ALL in a playlist: https://www.youtube.com/watch?v=FgTpL-8gouE&list=PLXpIV63PRtvV0i00XYqfj2_mOjp8kt4ti
Start your coding:
1. Find "Example notebook" created by MLDA@EEE under Notebooks.
2. Click "Copy and Edit".
3. Rename and work on your notebook!
4. Name and submit your submission file!
Instruction video for a quick start: https://www.youtube.com/watch?v=7w7n0DGsOaM
You may also work with Jupyter lab on a local computer.
Submit your file onto Kaggle from 15 May to 23 May, 2359 to be evaluated by our testing data! 👩🏻‍⚖️🧑🏻‍⚖️
Protip: You are allowed to submit your csv file onto Kaggle as many times as you'd like to get the highest accuracy results! 🤞🏼😉
The top 3 teams with the highest accuracy scores will be crowned winners of EEE Datathon on 24 May! 🎉🥳
For more resources & tips, head over to our Induction Fiesta telegram channel: https://t.me/inductionfiesta2020 🤓🤩
Organised by MLDA@EEE and Induction Fiesta EEE