LSTM-ARIMA with Attention and Multiplicative Decomposition for Sophisticated Stock Forecasting.

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.

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.

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

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

Advanced stock market view

A forecasting system for multiple sectors that uses ARIMA, ETS, SVR, and other models displayed on a user friendly interface with different viewing options.

Rust library for time series modelling and forecasting

Forecasting BTC Prices with a Linear Model (Linear Regression), Non-Linear Model (Non-Linear SVM), and ARIMA Model.

stock price analyst and predict its future by various model

The "Cincinnati Traffic Crashes - Time Series Analysis" is a comprehensive study that employs statistical techniques to examine patterns and trends in traffic accidents over time within the Cincinnati area. This analysis aims to forecast future incidents, and assist in developing strategies to enhance road safety.

Trabajo Presentado en el Máster de Big Data, Data Science e IA del tema de Series Temporales

Forecasting

Data Science project for forecasting steel and crude oil prices