This analysis explores historical data on CO2 levels in the atmosphere from 1800 to 2014.
We analyze the data to identify patterns and trends in CO2 concentrations over time. By employing statistical models, we aim to develop a reliable model for forecasting future CO2 levels. The chosen model will be evaluated through diagnostic techniques to ensure its effectiveness.
This project sheds light on the historical trajectory of CO2 and provides valuable insights for understanding and potentially mitigating future climate change.
Dataset source: Source: https://www.kaggle.com/datasets/rohitshirudkar/air-quality-forecasting-co2-emissions