Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[ Fixes: #2 ] Training and Testing a Classification Model- Ensemble Method (Forests of Randomized Trees) on defaults.csv #53

Merged
merged 4 commits into from
Mar 20, 2020
Merged

[ Fixes: #2 ] Training and Testing a Classification Model- Ensemble Method (Forests of Randomized Trees) on defaults.csv #53

merged 4 commits into from
Mar 20, 2020

Commits on Mar 12, 2020

  1. adds .ipynb, .py for defaults.csv and updates environment.yml

    @iamarchisha
    iamarchisha committed Mar 12, 2020
    Configuration menu
    Copy the full SHA
    6c27427 View commit details
    Browse the repository at this point in the history

Commits on Mar 13, 2020

  1. Update defaults_modules.py 

    added new line at the end of file
    @iamarchisha
    iamarchisha authored Mar 13, 2020
    Configuration menu
    Copy the full SHA
    29b6a65 View commit details
    Browse the repository at this point in the history

Commits on Mar 14, 2020

  1. makes requested changes

    @iamarchisha
    iamarchisha committed Mar 14, 2020
    Configuration menu
    Copy the full SHA
    e37ab56 View commit details
    Browse the repository at this point in the history

  2. makes requested changes

    @iamarchisha
    iamarchisha committed Mar 14, 2020
    Configuration menu
    Copy the full SHA
    7e1249a View commit details
    Browse the repository at this point in the history