Global-Temperature-Change-Prediction

A Data Science project that uses an ARIMA model for Time Series Forecasting, to predict the temperature of any given city across a specific time period.

The project also involves an analysis of the impact of increasing pollution levels and Greenhouse Gases on temperature change, and predicts the top-10 cities in the US that will witness the maximum temperature change in the next 10 years.

Files in this Repository

1. GlobalTemperatureChangePrediction.ipynb is the Jupyter Notebook for the project.
2. REPORT.pdf is a report describing the project in brief.