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