Search Results for "forecasting"

The forecast package is a comprehensive R package for time series analysis and forecasting. It provides functions for building, assessing, and using univariate forecasting models (e.g. ARIMA, exponential smoothing, etc.), tools for automatic model selection, diagnostics, plotting, forecasting future values, etc. It's widely used in statistics, economics, business forecasting, environmental science, etc. Exponential smoothing state space models (ETS) including seasonal components. ...

Padasip (Python Adaptive Signal Processing) is a Python library tailored for adaptive filtering and online learning applications, particularly in signal processing and time series forecasting. It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes. Padasip supports both supervised and unsupervised filtering modes and is built to be modular and extensible, making it easy to integrate into larger machine learning pipelines or control systems.

Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. ...

ETL, data warehousing, data mining, OLAP, business intelligence (BI) in Java. 500+ modules: extract, transform, load (ETL), data mining, data analysis + Weka, statistical forecasting, preprocessing, validation, visualization, OLAP, business intelligence.

...Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way.

The STIanafor is a tool for spatio-temporal data vizualization, analysis and forecast of incidence of sexually-transmitted diseases and drug resistance of pathogens in the Russian Federation. Currently supports gonorrhoea (N. gonorrhoeae) and syphilis (T. pallidum). A set of real data for testing is provided.

Viperfish is intended for the sailor looking to improve his weather forecasting. Viperfish provides the ability to visualise and modify GRIB (weather prediction) files, it can plot routes and provides routing based on coming weather and boat performance.