arima-forecasting

The set of functions used for time series analysis and in forecasting.

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

Photovoltaic power prediction based on weather data for my bachelor thesis

A hybrid forecasting model combining LSTM for sequence prediction and ARIMA for error correction. This repo demonstrates improved accuracy in financial trend prediction, showcasing training processes, error analysis, and performance metrics.

不同时间序列预测方法对上海旅游规模进行预测

Time series forecasting models for web traffic forecasting

Repositório com os códigos para a monitoria da disciplina de séries temporais da pós-graduação em inteligência computacional do centro de informática (CIn) - UFPE.

A Personal Project that applies an advanced statistical technique to predict future electricity prices for the British Market

A repository for data visualization and data analysis (Occasionally ML) related projects.

LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.

Forecast Exchange rates between 2 given currencies using data from the past 2 months

Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.

A web-based tool that predicts crimes based on heterogeneous spatial patterns

Auto tunned hybrid model for time series prediction using ARIMA and ANN

Simplistic tool for item price prediction in Hypixel Skyblock using machine learning, neural network and more.

This work related to using EEG waves of drivers to detect if they are drowsy through ARIMA model, and if they are, the system attempts to alert the driver through a series of event, in addition to taking control over the vehicle to auto-park it to avoid accidents.

When is an edge not an edge? - Surayez Rahman

Seq2Seq RNNs (Deep Learning) and ARIMA models for Cryptocurrency Prediction. Comparing the accuracy of forecasts produced by the models.

A novel approach to time-series stock forecasting. Combines Bayesian modeling and statistics with classical seasonal ARIMA models.

A COVID-19 dashboard which forecasts cases and deaths for each state in the US. The dashboard also provides with a county-wise map for each state.