A Capstone project for the Data Science Specialisation on Coursera by JHU

Penelitian ini bertujuan untuk memetakan profil kualitas udara di berbagai kota di India dengan membandingkan tiga algoritma clustering: K-Means, Hierarchical Clustering, dan DBSCAN. Analisis dilakukan menggunakan data polutan seperti PM2.5, PM10, dan NO2 untuk mengidentifikasi kota-kota dalam kategori kualitas udara buruk, moderat, dan baik. Berdasarkan pengujian Silhouette Score, metode Hierarchical Clustering (Ward’s Method) ditemukan sebagai model yang paling optimal dengan skor 0.2266. Hasil ini diharapkan dapat menjadi landasan prioritas mitigasi polusi bagi pemerintah setempat

This report presents exploratory data analysis of the TMDB 5000 movies dataset. It includes data cleaning, visualization, and analysis of trends, relationships, and patterns such as ratings, revenue, budget, genres, and movie performance.

This report explores the NOAA Storm Database (1950–2011) to identify which event types are most harmful to population health and which have the greatest economic consequences in the United States. Health impact is measured as the sum of fatalities and injuries. Economic impact is measured as the sum of property and crop damages after converting NOAA damage exponent codes (K/M/B) into numeric multipliers.