Kickstarters data analysis project.
In this project, we did data summary on crawled data from Kickstarter, a fundraising website that contains projects informations by using big data techniques such as Spark for data analyzing. The results are expected to show some relationships between project state and factors such as category, geo-distribution, goals, etc. We also use other machine learning tools such as sklearn and pytorch for predictions on the possibility that if a project will success at the startpoint.
Detailed information can be found in KickStarterAnalysis.pdf