This project focuses on developing an intelligent prediction model for digital currency prices (e.g., Bitcoin, Ethereum, etc.) using neural networks and artificial intelligence techniques. The model leverages historical and real-time market data analysis, applying machine learning algorithms to uncover hidden patterns and trends.

Ethereum Price Prediction Using MLP(Multilayer perceptron) Regression Models

A data science project focused on forecasting Ethereum's market trends against USDT using the ARIMA model. Historical price data is analyzed to identify patterns and make future price predictions, helping to understand potential market behavior through statistical time series modeling.

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Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.

LSTM-based hourly price prediction model for Bitcoin & Ethereum using technical analysis and deep learning.

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ETHEREUM-PRICE-PREDICTION-USING-RBF-REGRESSION-MODEL

Analysis and Prediction of Ethereum Prices and Its Correlation with Other Assets.

Time series analysis and forecasting of Ethereum prices using the ARIMA model, including data preprocessing, parameter tuning, and future price predictions.

Creating a price prediction system using LSTM, GRU and a stacked model on trained on Bitcoin, Ethereum and Ripple price data

This research explores cryptocurrency price prediction using ARIMA model, assessing Bitcoin and Ethereum trends from 2013-2017. Valuable insights aid investment decisions.

This repository contains Python code for predicting Ethereum prices using a neural network. It preprocesses historical data and trains a TensorFlow model for accurate predictions.

A cryptocurrency forecasting project analyzing Bitcoin, Ethereum, Dogecoin, and Cardano prices using ARIMA, Prophet, XGBoost, and Hybrid models. It compares traditional time series forecasting with machine learning for financial prediction accuracy.

This project combines a PyTorch-based Ethereum price prediction model with a Django web app and an HTML/JavaScript frontend. A Solidity smart contract handles ETH fee payments, enabling users to securely access buy/sell trading advice through a blockchain-integrated, AI-driven prediction platform.

🔮 Ethereum Price Prediction Model 💹 Developed a machine learning model to forecast Ethereum prices using historical data. This project aims to assist investors in making informed decisions by providing accurate price predictions.

Building an Ethereum Price Prediction model with data from a Kaggle dataset

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Ethereum Price Prediction model

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ETHEREUM PRICE PREDICTION USING RBF REGRESSION MODEL

Ethereum price prediction using machine learning model

This repo includes Ethereum Price prediction models

Ethereum Price Prediction Using MLP Regression Models

Ethereal Historical Data:https://www.investing.com/crypto/ethereum/historical-data N-Beats Algorithm Paper:https://arxiv.org/abs/1905.10437

Ethereum price movement prediction using LSTM and Random Forest models.

This project compares ARIMA with LSTM models on Ethereum price prediction.

Ethereum price prediction using ARIMA model during ML internship at Arch Technologies

Ethereum Price Prediction - Time Series Analysis using the ARIMA (AutoRegressive Integrated Moving Average) model