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