Air Crash Analysis

Analysing the aircraft crash dataset

A program coded in Python that analyzes the Aviation Accident database. It contains visualization and analysis of different trends in aviation accidents such as distribution of crashes across different countries, prediction of future trends in crashes. This project was a part of MA0218 Introduction to Data Science and Artifical Intelligence.

Trends in aircraft damage, color coded on a world map

This project was my first dive into the world of data science and introduced me to popular libraries such as Pandas and Matplotlib. I learned the importance of cleaning data and effectively visualizing it. Finally, I implemented different machine learning models such as support vector machines and shallow neural networks using the Scikit-Learn library.

Jupyter notebook code: here