I built a Kickstarter Success & Funding Prediction solution that combines machine learning and interactive deployment to help creators assess the potential of their campaigns before launch.
Project Highlights:
Regression (LightGBM): Predicts pledged funding amount.
Classification (Decision Tree): Estimates the likelihood of campaign success.
Feature Engineering: Log transformations, clustering, one-hot encoding.
Interactive Deployment: Streamlit app for real-time predictions.