Data Visualization Project

This Python Notebook encompasses an extensive Aviation Accidents Dataset to construct a classification model employing K-Nearest-Neighbors and Support Vector Machine algorithms. It features comprehensive, step-by-step explanations, a geographical map pinpointing accidents in New York, and pertinent information pertaining to aviation accidents.

Within this Python Notebook, you will find a comprehensive exploration of Apple Stock data, delving into the intricate relationships among various key parameters. Topics covered include stock volatility, trading volume, and price dynamics. The notebook also offers in-depth explanations and employs a Facebook Prophet model for stock price forecasting.