@Romandovega mandovega would you like to work with someone else? or are you going solo. I am also working on the same problem.
I am working on fraud detection. I spent a few weeks trying RF and missed some really crucial details as pointed out in the TOP solution. It is explained quite well and the goal is to get top 10% using this. Anyone will to join is welcome.
Great, will message you on discord.
Hi, I am interested. How do we meet?
message me on discord please.
Hi,
I spent about roughly 2 months trying and understanding different solutions for a competition as part of fastchai initiative to get to top 10% solution somehow.
This is part of a series of posts divided as follows:
- Top 10% solution Detailed version on my blog
- Top 10% solution short version for kaggle
- What works in feature engineering
- How to know if you are actually overfitting
- What can Adverserial Validation do for you?
Cross-posted all from my DS blog. Fraud Detection Competition page is here.
Please have a look and let me know if you found any issues or if you found anything useful.
Thanks.
@neomatrix369 do you have a spot in the group?
Any other NLP groups?
Any luck with the implementation?