Time Series Analysis
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Updated
Aug 11, 2020 - Jupyter Notebook
Time Series Analysis
Semesterproject - GEO880 Comuptational Movement analysis - spring semester 2022
Doing predictions of sales for Qatar-based user. Used timeseries, seasonal decomposition and sentiment analysis. Goal was to visualize sales, find connections between hundreds of independent variables and sales and to make the sales of the company and make them better.
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.
Final Project for a Mathematical Biology course
App: Hodrick–Prescott filter for seasonality decomposition with Microsoft stock price time series data.
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.
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
Time series forecasting techniques to predict TESLA's stock price
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.
Analyze trends and forecast daily revenues.
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
Time series forecasting using different methods.
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