A time-series companion package to healthyR
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Updated
Jun 27, 2024 - R
A time-series companion package to healthyR
A Q-Learning based Routing Algorithm for Internet of Vehicles, using vehicle trajectory prediction
LSTM-ARIMA with Attention and multiplicative decomposition for sophisticated stock forecasting.
stock price analyst and predict its future by various model
BitPredictor - A cutting-edge machine learning-based solution for predicting cryptocurrency prices. Harnessing the power of advanced algorithms and data analysis techniques, this system aims to provide accurate and timely forecasts for Bitcoin and other cryptocurrencies.
Time series forecasting for store sales with ARIMA
Implemented Airline Passengers Traffic Forecasting using ARIMA Model for next 5 years.
This project analyzes and forecasts Superstore sales data for furniture and office supplies using time series models like ARIMA and Facebook's Prophet, highlighting seasonal patterns and trends.
In this project, I thoroughly clean bike-share data from 2014-2015 and build a simplistic ARIMA model to forecast daily revenue per bike station in 2016. (Repo in progress)
This project aims to predict gold prices using various time series forecasting techniques. The dataset consists of monthly gold futures data over the last ten years. The primary methods used in this analysis include ARIMA, Error Trend Seasonal (ETS) models, and Exponential Smoothing techniques. The forecast horizon is set for the next two years.
Stock Price Prediction
Microsoft Stock Price (closing) Prediction using Stacked LSTM and ARIMA (6,1,6) models
My Diploma Thesis for my MSc in Big Data & Networked Systems at Ionian University.
This repository contains Python functions for predicting time series.
This project aims to develop a model using ARIMA & Seasonal ARIMA to forecast future sales
Capstone Project 4th year - Computing and IT - Welcome to the Crime Rate Forecasting in Ireland repository! This project focuses on predicting crime rates in specific areas across Ireland using time series forecasting models.
Prediction of road casualties and evaluate the impact of transformations in Time Series Modeling and Forecasting with ARIMA using the R programming language
Time Series Analysis of Covid-19 Dataset
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