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My rescue came from discovering some of the alternatives to ARIMA/SARIMA, which was the extent of what we had covered for time series data. A series of searches eventually led me to some automated time series analysis packages, one of which was Prophet, an open source time series package released by Facebook's core data science team. This was a life saver, being a much more efficient and more effective forecasting tool than sloooowly iterating through ARIMA/SARIMA models that seemed to want to fight with me. If you're going to do a time series analysis for your capstone, I strongly suggest taking a look at using Prophet.
Github: Awesome Public Datasets I didn't find much of use here for me, as much of this was either very specialized or very large datasets. But maybe you'll find something of use, here.
The federal government has sources for both census data and other data. Similarly, many state governments and even some city/county governments have open data policies and publish datasets. For example, here in Colorado, we have the Colorado Information Marketplace or even Fort Collins OpenData. These tend to be very well documented, but they're also frequently hyperspecialized to very niche cases. Of course, if you already have some knowledge or ideas in that hyperspecialized niche case, this is likely to make a great addition to a portfolio to start working in that industry! Government data can also be a great choice for local projects or extending an existing dataset (say, adding census data to existing sales data for specific regions).
Thx for the info. I heard Twitter was charging for API access now. Looks like there might be free, basic access but according to this, it's limited: https://developer.twitter.com/en/docs/twitter-api/getting-started/about-twitter-api
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