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.