Data Analysis on CrowdFunding(Kickstarter)

Performed data analysis on a crowdfunding website (kickstarter.com) to analyze the factors contributing to the success or failure of a project. • Collected data using Web Scraper from kickstarter.com for 150K projects and cleaned the data using Python. • Visualized data using seaborn and matplot packages. • Utilized different ML techniques to determine the accuracy of the prediction models and to reduce misclassification. • Concluded that the features of data analyzed are non-linear and in the form of clusters.