Mini Project- Time Series Forecasting.pdf - Mini Project \u2013 Time Series Forecasting By Stuti Prasad 1 Table of Contents 1 Project Objective 3 2

Mini Project- Time Series Forecasting.pdf - Mini Project...

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1 Mini Project Time Series Forecasting By - Stuti Prasad
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2 Table of Contents 1. Project Objective ............................................................................................................................ 3 2. Assumptions ................................................................................................................................... 3 3. Exploratory Data Analysis Step by step approach ...................................................................... 3 3.1 Environment Set up and Data Import ..................................................................................... 3 3.1.1 Install necessary Packages and Invoke Libraries ............................................................. 3 3.1.2 Set up working Directory ................................................................................................ 3 3.1.3 Import and Read the Dataset .......................................................................................... 3 3.2 Variable Identification ............................................................................................................. 3 3.2.1 Variable Identification Inferences ................................................................................ 3 3.3 Descriptive Analysis ................................................................................................................. 4 4.Periodicity of the Data…………………………………………………………………………………………………………………..6 5. Convert data to Time Series………………………… ................................................................................... 6 6. Components of Data……. ................................................................................................................... 7 7. Deseaonalise Data ................... ......................................................................................................... 8 8.Checking for stationarity ……… ............................................................................................................ 9 9. ARIMA Model ……………………………………………………………………………………………………………… .. ……… .. ….1 2 10. Ljung Box test ….. ............................................................................................................................. 16 11. Forecasting ……………. ....................................................................................................................... 17 12. Model Accuracy ………………………………………………………………………………………………………………………… .18 13 . Appendix & source code…………………………………………………………………………………………………………….1 8
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