Project Proposal.md

Project Proposal

Question/need:

• Can I predict the success of Kickstarter Campaign with classification models?

• This project's goal is to help entrepreneurs/campaigners increase their chances of launching a successful campaign by narrowing down the criteria to focus with classification models.

Data Description:

• Dataset: Kickstarter dataset from the website Web Robots

• Each unit is an individual Kickstarter Campaign.

• Features: backer_count, category, converted_pledge_amount, country, created_at, deadline, goal, launched_at, pledged, spotlight, staff_pick

• Target: Success of the campaign

Tools:

• Sklearn classification models - Logistic Regression, Decision Trees, Random Forest, KNN, etc.
• pandas and numpy for data manipulation
• SQL for storage
• possibly using Flask for production if time allows

MVP Goal:

• A baseline classification model that predicts the success of a Kickstart campaign