IBM Applied Data Science Capstone
SpaceX Falcon 9 landing success analysis and prediction
- Collected launch data from the SpaceX API and Wikipedia, then cleaned and prepared it with Pandas and NumPy.
- Explored launch patterns with SQL and visualizations, and mapped launch sites with Folium.
- Tuned four classifiers (logistic regression, SVM, decision tree, KNN) with cross-validated grid search: validation accuracy 0.85 to 0.89, test accuracy 0.83 on a small 18-sample test set.