In this notebook we explore the Kickstarter.com dataset, that someone kindly scraped for us from the Kickstarter website. We try to predict the success of the campaigns based on the data available to us. There are two scripts, one is to preprocess the csv files and save them as one large csv file; the other script is to train a random forest classifier model and save the model to a file.
AIMPED/ML_Classification_Kickstarter
Predict if Kickstarter Project will be funded
Jupyter NotebookMIT