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parshkov's Projects

ai-in-finance icon ai-in-finance

In this project, analysis and prediction of the bitcoin price was carried out as part of a project to research artificial intelligence in finance in the scope of Interactive ML course at Augsburg University

bitcoin icon bitcoin

Serverless Data Engineering Pipeline about predicting Bitcoin price and clustering community review

bitcoin-price-pred icon bitcoin-price-pred

Predict bitcoin price using gold and S&P 500 data implementing LSTM, Gradient Boosting Regression, and Random Forest

bitcoin-price-prediction icon bitcoin-price-prediction

Developed a binary classification algorithm for Bitcoin price prediction at different frequencies ( daily price and 5-minutes interval price) using different machine techniques model in Python

bitcoin_analysis- icon bitcoin_analysis-

Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.

bitvision icon bitvision

Terminal dashboard for trading Bitcoin, predicting price movements, and losing all your money

crypto_predictor icon crypto_predictor

Application that predicts cryptocurrency price changes and provides financial recommendations using Machine Learning models.

flume icon flume

Extract business logic from your apps with a user-friendly node editor powered by React.

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