Analysis of different Forecasting techniques on a time series dataset to forecast the number of tourists in Australia in R

Forecast 5 years sales of souvenir data using Holts-winters and ARIMA methods.

Need to predict how many passengers are going to opt for the airline base on the historical information provided by the Airlines. Using various Time series techniques predicted the number of passengers

A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.

Classifying and Forecasting Student Performance at ITCH

[Times series analysis] Retail Sales in the USA (1999 - 2020): The rise of E-commerce

Basic Holt Winter Covid-19 Example

Projet de prédiction d'électricité en France à partir de données réelles. Manipulation de données, modélisation de type régression linéaire, ainsi que différentes modélisations de séries temporelles (Holt-Winters, SARIMA).

This repository is B.Tech. major project on COVID-19 Global and India Forecast

Statistics projects using R.

Build models for forecasting Airline passenger traffic by utilizing several algorithms for time series analysis.

The purpose of this project is to demonstrate the application of three main forecasting functions: single exponential smoothing, double exponential smoothing and Holt-Winters forecasting.

Holt-Winters Timeseries Forecast

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

Fit and predict on a data with an increasing trend and a varying seasonal component.

A time-series forecasting model which forecasts CO2 emission levels based on available past data.

This project is to build Forecasting Models on Time Series data of monthly sales of Rose and Sparkling wines for a certain Wine Estate for the next 12 months.

The purpose of my application was to solve a problem many businesses (small businesses in particular) face. They do not know how much to produce, where to price, how much to spend on advertising and many other questions. Eden’s purpose was to answer these questions for them easily and with no technical acumen required by the user. Eden would mod…

The forecasting system of COVID-19 uses nine standard forecasting models for prediction of death, recovery and confirmed cases of COVID-19

Using MS Excel and R, accurately forecasted total core deposit data from a Richmond Bank. The Holt’s Linear Exponential Smoothing had the overall lowest “Quick and Dirty” MAPE (1.2%), the lowest overall Maximum MAPE (3.49%), and consistently more accurate projections for each of the forecast horizons. Overall, the Unaided, Holts Linear Exponenti…