Presentation
3.0 Kickstarter Prediction Model slides.
Webapps
3.A. Flask/D3 visualization of impact of a Kickstarter staff recommendation on success rate, by subcategory.
3.B. Flask app predicting success of a campaign based on US$ goal US$ pledged and number of backers.
Jupyter Notebooks
3.1. Export to SQL data prep.
3.2. Exploratory Data Analysis.
3.3. Initial ML model tests.
3.4. GirdSearchCV parameter optimization.
3.5. ML model deep dive: Random Forests and XG Boost.