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.
Switch branches/tags
Nothing to show
Clone or download
Latest commit a458b8a Jan 6, 2018
Permalink
Failed to load latest commit information.
Data Update Sources.md Dec 14, 2017
GlobalTemperatureChangePrediction.ipynb Add files via upload Jan 6, 2018
README.md Update README.md Jan 6, 2018
REPORT.pdf Add files via upload Jan 6, 2018

README.md

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.