Time series forecasting with multiple seasonality.

Taxi demand forecasting for the next hour , given historical data, as well as calendar signs, previous values, and a moving average.

This project delves into Indonesia's dynamic hospitality industry, uncovering seasonal booking trends, the impact of stay duration on cancellations, and how lead time affects cancellation rates. Valuable insights guide hotels to optimize pricing, policies, and customer engagement, enhancing competitiveness in the Indonesian hospitality sector.

App: Hodrick–Prescott filter for seasonality decomposition with Microsoft stock price time series data.

Explored sales performance, key purchase drivers (events, seasonality etc.), product purchase baskets, customer audience profiles, churn rates and recommended strategies the retailer can adopt to improve sales

time series forecasting hourly energy consumption using prophet

Analysis of seasonal habitat-use patterns of Aldabra giant tortoises of Aldabra Atoll, Seychelles using temporary emigration models.

An R package for characterizing temporal data using non-parametric methods for exploratory time series analysis.

In this project I created a notebook that contains data preparation, analysis, and visualizations for all the time series data that a mock company would need to understand including: Visual depictions of seasonality (as measured by Google Search traffic) that are of interest to the company. An evaluation of how the company stock price correlates…

This model predicts furniture sales on account of 4 year sales record.

An open-source package written in Julia for seasonal plants epidemics

Seasonal decomposition of time-series (classical, STL) for gretl

A website and PWA for helping people enjoy eating locally, seasonally and sustainably, starting with a focus in Brussels.

Sales Forecasting with Time Series Analysis by using ARIMA and SARIMAX.

Data Analysis of Capital Bikeshare

This repository contains introductory notebooks for forecasting

Analyze trends and forecast daily revenues.

This project is to analyze and compare Airbnb listing price in Boston and Seattle, to find any trends, and to identify what factors affect the Airbnb listing price.

A real world data analysis and time series forecasting using FB Prophet #3