Used AWS services to get and make predictions on housing data for ReframeIt’s affordable housing project
Downloaded data from real estate websites using Python and store in S3
Used Python with Spark to clean, transform, and implement time series and boosting algorithms on the data to predict which areas would be good to invest
Stored the results of the data analysis into a MySQL database
Created visualizations in Tableau to show the results of the analysis
| Type: | Real Estate |
| Release Date: | Apr 30, 2021 |
| Last Updated: | May 12, 2021 |
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