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README
Ajit Chavhan
08/12/2020
Forecasting algorithm demonstration
File Structure:
readme.txt
airline_forecast
Airline_Dataset_Description
airline_analysis
total_res
cocacola_analysis
cocacola_forecast
Forecasting_plot_graphs
total_res
Development Environment:
My script was developed RStudio Version 1.3.1056
Usage:
Install RStudio. Open file in RStudio and change the code according to you dataset for various situations and run it.
File Description
airline_forecast - Script file in R language
airline_analysis- This file contains the different outcome of r function to observe the output and act accordingly on airline dataset
Airline_Dataset_Description - inferences on airline datset and driven approach and other describtion
total_res- result image which is having figures of results on different parameter
cocacola_forecast - Script file in R language
cocacola_analysis- This file contains the different outcome of r function to observe the output and act accordingly on cocacola dataset
Forecasting_plot_graphs - inferences on airline datset and driven approach and other describtion on cocacola dataset
total_res- result image which is having figures of results on different parameter
objective:-
Forecast the CocaCola prices and Airlines Passengers data set. Prepare a document for each model explaining
how many dummy variables you have
created and RMSE value for each model. Finally which model you will use for
Forecasting.
Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python.