This repository has been archived by the owner on Jun 29, 2022. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 0
How to request an evaluation by 3778
Daniel Severo edited this page Oct 27, 2019
·
2 revisions
All you have to do is invite dsevero to collaborate on your repository and wait for a response. It should take a couple of days.
Make sure you followed the rules, otherwise you will be ignored.
Please detail, as much as possible, the results obtained with your strategy. Everything must be contained in the README.md
file.
Here is a non-exhaustive list of suggestions of points to address in the presentation.
- Analysis of the dataset (e.g. columns, sparsity, columns semantics).
- Descriptive statistics (e.g. averages, data distributions).
- Models used and how they differ. Feel free to use as much math as you'd like. For LaTeX equations please see this post on Stack Overflow. Create a markdown table comparing results from each model.
- Outline why you chose to use a specific model and relate it to point 2.;
- Document your functions (e.g. PEP 257 -- Docstring).
- Give instructions on how to train and test with the code you have written.
Take a look at some Kaggle Kernels for inspiration.
We are in beta, contact us at [email protected]
for inquiries.
Help us by starring this repository!