zwjsshi / kickstarter_data_mining

Data mining project for tuning and optimizing the ML models to predict and classify project funds and status on the Kickstarter platform

kickstarter_data_mining

Use Case

Analyze the data scraped from the Kickstarter crowdfunding platform from a data mining perspective. The goal of this project is to:

• Develop an optimized regression model to predict the amount that needs to be pledged in US dollar
• Develop an optimized classification model to classify whether a project will be successful or failed

The project mainly focuses on processing and cleaning the data and training hyperparameters of supervised machine learning models. The models will help individuals and organizations make a relatively accurate investment on the Kickstarter platform.