A popular and widely used statistical method for time series forecasting is the ARIMA model. It is one of the most popular models to predict linear time series data. This model has been used to predict the electricity price for Spain Market.
Timeseries Analysis of Dallas zipcodes based on forcasted ROI
Time Series forecasting and linear regression modelling of currency price action
Time Series forecasting and linear regression modelling of currency price action.
LLM-Forecast: A Novel Hybrid Forecasting Methodology Integrating ARIMA and Large Language Models
An R/Shiny application created to help users practice ARIMA time series modelling. Hosted on AWS EC2.
This project involves analyzing unemployment rates during the COVID-19 pandemic. The goal is to understand the trends and forecast future unemployment rates using time series analysis. The project includes data cleaning, visualization, and ARIMA modeling.
Times_Series_Analysis_with_ARIMA
A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.
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