Julia Package with SARIMA model implementation using JuMP.

Time series forecasting using 8 different models

This project aims to analyze and forecast daily revenue and the daily number of receipts across six distinct restaurants, by employing a statistical approach and utilizing predictive models, particularly the SARIMA and TBATS models.

A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns

Data Science: Machine Learning analysis of B2B website Visits and Purchase Patterns

Auto-Forecasting is a web application that takes in an excel file with univariate time series data and provides forecasts. Auto-Forecasting works on SARIMA modeling.

Time series modelling with extended regression SARIMA models

Pharmalytics is a sales prediction application for Firstmed Pharmacy using the SARIMA model and Streamlit.

Este repositorio contiene un análisis exhaustivo de las sobredosis de opioides en Estados Unidos, un problema de salud pública que ha alcanzado proporciones alarmantes en las últimas décadas. A través de una combinación de datos estadísticos, visualizaciones informativas y análisis en profundidad. 💉🩺

Recently inflation is a popular topic in Poland and is highest since 2001. Experts presume inflation in Poland should continue to rise, and by the end of 2021 it will be close to 8%. This notebook aims to develop a forecasting model for time series using Python.

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

Here is a time series analysis using R and Arima models to predict air traffic for Hong Kong Airport.

This project focuses on Time Series Analysis techniques, uncovering patterns and leveraging forecasting models to predict future sales trends.

Timeseries analysis of Wikipedia traffic prediction using ARIMA, SARIMA and Prophet models.

My stock analysis project using LSTM and SARIMA. This is a test project and it is not financial advise.

This work centers on assessing and comparing predictive models for regression and time series prediction using specific datasets, with the goal of selecting the most effective methodology for unseen test data.

Predictions on energy prices across EU countries

Forecasted the wells production

This project focuses on forecasting weekly sales for a subset of Walmart stores using various machine learning and time series models.

Exploring Advanced Models for Time Series-Based Weather Forecasting in Bangladesh: A Comparative Analysis of ARIMA, SARIMA, FB-Prophet, LSTM and BiLSTM Models