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https://github.com/danmurphy1217/predict-startup-success
https://github.com/danmurphy1217/predict-startup-success
Last synced: 29 days ago
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- Host: GitHub
- URL: https://github.com/danmurphy1217/predict-startup-success
- Owner: danmurphy1217
- Created: 2020-03-28T17:43:58.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-18T01:00:13.000Z (over 4 years ago)
- Last Synced: 2024-10-26T22:10:16.606Z (3 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 79.8 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Predicting Startup Success
This repository contains code I wrote to predict the likelihood that an entrepreneur will be successful. So far, I have spent much of my time looking into features like:
1. Number of previously founded organizations
2. Number of exits
3. Gender
4. Category of startup
5. Location of headquarters
and more.
The models I have experimented with so far include KNN, Random Forest, Decisiion Tree, Logistic Regression, and KNN. I am working with a dataset of ~19,000 rows.