solid oriole
Hi everyone,
I shared a clean and beginner-friendly LightGBM notebook with:
Practical EDA
Feature engineering
Cross-validation
Public score ~8.79
Notebook link: [https://www.kaggle.com/code/imrancoder786/eda-feature-engineering-lightgbm-cv-8-79]
Feedback and suggestions are welcome 🙂
winged hemlock
Hello
winged hemlock
Hi everyone,
I shared a clean and beginner-friendly LightGBM notebook with:
Pr...
I find it rather interesting and instructive for a beginner. However, even though in the context of playground competitions we don't have to deal with NaN values or duplicates, maybe it will be interesting to pinpoint that we didn't do anything about nan values and duplicates since there are none. I might also say that at the end you see that some of your predictions exceed slightly the score 100, maybe some are at 102-103. This is suboptimal for sure since exam scores are values between 0 and 100. So, clipping in that range will certainly provide a better score.
If someone would be interested in forming a team with me for the competition in order to learn and improve together, please contact me. I am still learning but I have some solid background in AI in general.
winged hemlock
Hey Kagglers,
I will appreciate so much if you check my attempt for the competition and give me your feedback and how I can further improve!
Thank you in advance ^^
the link is : https://www.kaggle.com/code/zaouiyassine/sandbox-playground-s6e1
turbid tangle
Hi,
Are you a beginner to Kaggle Competitions?
Start today in playgrounds,
I have made a beginner-friendly notebook guide,
which will help you start developing your thinking process for playground competitions.
Link: https://www.kaggle.com/code/vaibhavdlights/thumb-rule-for-all-playground-beginner
Please upvote if you like 🙏
remote plover
Hi everyone,
I shared a clean and beginner-friendly LightGBM notebook with:
Pr...
do you have a teammate?
mystic cedar