Predicting eczema severity with biomarkers using a Bayesian state-space model

Time series analysis to obtain future forecasts from the last recorded observation, applying the Box-Jenkins methodology using ARIMA models.

This project aims to predict gold prices using various time series forecasting techniques. The dataset consists of monthly gold futures data over the last ten years. The primary methods used in this analysis include ARIMA, Error Trend Seasonal (ETS) models, and Exponential Smoothing techniques. The forecast horizon is set for the next two years.

This project is to build an ARIMA model to predict supermarket deals (Coles and Woolworths). It is written in R programming language. The dataset consists of multiple attributes such as date and items name showed on website. The price are updated progressively. The dataset is not having all items, instead only the items of interest.

Shiny dashboard used for analyzing and forecasting fictious data with time series methods (ARIMA and Linear Regression).

Using various time series Models prescription for the case studies

The project involves the analysis and forecasting of time series on financial data.

This project covers both Simple Linear Regression and Multiple Linear Regression which are used in prediction airline flight ticket. Moreover, Correlation analysis and Timeseries analysis are performed as well. This project is built as a fulfillment for my masters degree.

This repo contains material for my interview for Birmingham and Solihull ICB.

Analisis Runtun Waktu- Universitas Sanata Dharma

Time Series Forecasting with ARIMA GARCH

Forecasting monthly natural gas demand in the United States (24 months into the future)

This is the data analysis project, using time series models try to predict the unemployment rate in the U.S.

Time series methods for public transit ridership forecasting

Built a time-series forecasting model for predicting the traffic congestion condition at the road intersections with ARIMA model

Time Series Forecasting on Gasoline Production

Powering the Future in a Sustainable way: Analysis and Forecasting of Lithium exports for Australia and Chile using Time series Analysis and Business Market Models

ARIMA model for forecasting daily Covid-19 cases in Morocco

R package providing models to serve as building blocks for predicting eczema severity

Weather time series data forecasting using Neural network autoregressive and Fourier-Autoregressive Moving Average