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This is a Time Series Forecasting project where aim is to predict the CO2 emission for next 10 years given the data for the period 1800-2014.

Python 0.04% Jupyter Notebook 99.96%
time-series forecasting time-series-analysis arima-model arima-forecasting sarima-model co2-emissions streamlit-webapp streamlit streamlit-deployment deployment

time-series-forecasting's Introduction

Air Quality Forecasting of CO2 Emission (Global)

Objective :

  • To forecast CO2 levels for an organization so that the organization can follow government norms with respect to CO2 emission levels.
  • Given data of CO2 emission of the world from 1800 to 2014. The aim is to study the data and predict the CO2 emission for next 10 years.

Work Flow :

  • Data Analysis and drawing up some inferences.
  • Implementation of various EDA techniques to clean the data and visualized it using different graphs.
  • Future prediction had to be done using 'Time Series Analysis & Forecasting' technique.
  • Model Deployement using Streamlit API and Streamlit Cloud.

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