hackforla / hackforla/lucky-parking
Create parking score for real estate price prediction
- Dominant language
- Jupyter Notebook
- Stars
- 37
- Forks
- 60
- Avg merge
- 13h 32m
- Merged PRs (30d)
- 5
Description
### Overview
Real estate price prediction is a huge application of machine learning. Although it has been getting better recently, it still is often times wildly off. A lot of this has to do with their algorithm simply not taking all the relevant information into account. Local parking conditions do have an impact on people's quality of life and could be factored into a house price estimation.
### Action items
- [ ] Scraping real estate data
- [ ] EDA
- [ ] Feature engineering
- [ ] Create new features based on coordinates and local parking statistics
- [ ] Examine correlations with housing closing price around same date of sale
- [ ] Create and evaluate models
- [ ] Create Flask API
- [ ] Look into scaling it
### Resources/Instructions
Confer with Greg
Contributor guide
Assessment
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