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Project---Forecasting-Inflation

  • Analysing the Inflation Trend Over the Historical Data
  • Finding hidden patterns and trends associated with Inflation across the years
  • The Data collected from IMF Website from the year 1980 till 2022
  • The Data is upsampled to get more insights from the data
  • The Data is upsampled using pandas library
  • Different Visualizations are plotted to check how the inflation behaves acroos different months
  • Different Models are checked like Model Based models like Exponential Moving average,qudratic, Quadratic with additive Seasonality, Multiplicative with additive seasonality
  • The Data driven models like ARMA,ARIMA , Holts Wilter Method were also tried
  • The LSTM Model gave the best results so it was deployed