This Repository includes files of project predicting Cryptocurrency Ethereum price using Twitter sentiments and Machine Learning

A transformer based model to predict crypto-currency prices using sentiment analysis and cross-correlation

Capstone project for the course Deep Learning as part of the master Data Science and Society.

This project aims to predict the future price of Ethereum using various machine learning models, including deep learning. The project is implemented using Python and Jupyter notebooks.

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.

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A blockchain analytics tool that monitors Ethereum network congestion and provides accurate gas fee predictions for transaction execution. The project analyzes mempool activity, historical block data, and transaction patterns to estimate optimal gas prices, helping developers reduce costs and improve transaction confirmation efficiency.

Ethereum Price Prediction Using MLP(Multilayer perceptron) Regression Models

EECS 6893 Final Project

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.

A python deep learning program to predict ethereum prices using LSTM networks.

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This project aims to develop a machine learning model for predicting cryptocurrency prices based on historical data. By leveraging algorithms like linear regression, time series forecasting, or deep learning, the model analyzes patterns and trends in the historical price data to make predictions about future price movements.

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Project Overview

Ethereum Price Prediction using GRU|LSTMs for Forecasting.

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.

A high-frequency PPO AI trading agent for scalping on the Ethereum network, leveraging LSTM for advanced price prediction and a deep neural network to explore and optimize multiple trading strategies.

Ethereum Price Prediction

ethereum price prediction

Dashboard of Ethereum Price Prediction

Prediction of Ethereum price based on time series analysis of historical data from YFinance

by SVR model

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.

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Predicts future value of Ethereum using Prophet library

This project loads historical cryptocurrency data, performs exploratory data analysis (EDA), engineers predictive features, trains a linear regression model, and evaluates their ability to predict Ethereum closing prices.

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.

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