https://github.com/manesioz/multiple-linear-regression-model
Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.
https://github.com/manesioz/multiple-linear-regression-model
backward-elimination finance machine-learning multiple-linear-regression optimization python
Last synced: 2 months ago
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Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.
- Host: GitHub
- URL: https://github.com/manesioz/multiple-linear-regression-model
- Owner: manesioz
- Created: 2018-06-01T01:42:31.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-06-01T01:49:08.000Z (about 8 years ago)
- Last Synced: 2025-01-05T16:12:15.344Z (over 1 year ago)
- Topics: backward-elimination, finance, machine-learning, multiple-linear-regression, optimization, python
- Language: Python
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Multiple-Linear-Regression-Model
Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings. Profit predictions can be made given a variety of quantitative and categorical data.