This is a continuation from my Unit 2 Build Project. I want to take a bunch of startups and create a model that can have prediction power on whether or not they will go on to raise an additional round of funding. This will be one piece of a complete application that would be a sourcing model for VC's interested in early stage startups.
- Webscrape startups
- Webscrape individual startups information
- Convert webscraped data into a dataframe for cleaning and wrangling
- Build a classification model
- Assess model
- Based on model, decide whether or not to continue to build out sourcing application