https://github.com/decodedco/translators-r
https://github.com/decodedco/translators-r
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/decodedco/translators-r
- Owner: DecodedCo
- Created: 2017-04-13T13:26:15.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-05-18T16:55:50.000Z (about 9 years ago)
- Last Synced: 2025-03-14T08:21:26.974Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 648 KB
- Stars: 0
- Watchers: 21
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# translators-R
## Introduction
We want to analyse loans in order to predict likelihood of Default.
To do this, we will experiment with:
* Decision trees
* Random forests
* Neural networks
Each of these models relies on us pre-defining some input parameters.
We must assess how well these models perform (depending on the input parameters), in order to find the one that best predicts Default.
The data, and a starting R script for our analysis can be found here.
You must create a copy of the template notebook, and use your copy to try out the methods.
## R notebooks
Notebooks are a great way for organising text and code in order to follow through data exploration and analysis.
You can preview the analysis that we will carry out here in `Analysis_Template.ipynb`.