Various ipython notebooks
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Updated
Jan 27, 2018 - Jupyter Notebook
Bitcoin is a cryptocurrency developed by Satoshi Nakamoto in 2009. Bitcoin is used as a digital payment system. Rather than use traditional currency (USD, YEN, EURO, etc.) individuals may trade in, or even mine Bitcoin. It is a peer-to-peer system, and transactions may take place between users directly.
Various ipython notebooks
Python Scripts and Jupyter Notebooks
Is Bitcoin cloud mining profitable? Check the notebook to find out! (Not Clickbait)
SNA on various social graphs including trading networks & Facebook friendship networks.
This repository is part of an article about how to forecast and detect anomalies on time-series data. The main objective is to train a RNN regressor on the Bitcoin dataset to predict future values on then detect anomalies in the whole data window - that last step achieved by implementing a RNN Autoencoder. You'll see some other models in the not…
Predicted the Price of the Cryptocurrency(Bitcoin) using the past time-series data, Twitter Sentiments(Polarity and Sensitivity), Currency's Fundamentals and Technical Indicators like RSI and SMA on LSTM. The Notebook contains the Exploratory data analysis(with important links) and the astounding result at the end of it
Ethereum Solidity Development Overview
Predicting Bitcoin prices using Deep Learning
Where I keep all my jupyter notebooks
Statistical Models Application to Bitcoin Daily Movement with Python via Jupyter notebook.
Jupyter Notebook which allows you to create your own dataset with bitcoin "OPEN, HIGH, LOW, CLOSE" data, through the trades of different exchanges.
In this notebook, we build and train a Multi-Step / Multi-Output Regression Model powered by TensorFlow & Keras in order to predict Bitcoin's future trend.
Este projeto se trata de um simples etl com um dataset com as variações dos preços diários do bitcoin no período de 2020-2022. Os códigos do notebook foram desenvolvidos tanto em pyspark quanto em sql, numa simulação de solucão referentes a perguntas de négocio.
Codes and notebooks used for the paper.
Jupyter Notebook with a Crypto-currency Historical Data generator
A Python notebook studying the efficiency of Deep Learning techniques for the task of Bitcoin price movement prediction.
Jupyter Notebook that calculates a rough estimate of how much e-waste is generated per transaction by the Bitcoin main network, based on the expected lifespan and hash rate of the ASIC Antminer S19J Pro.
Created by Satoshi Nakamoto
Released January 3, 2009
Latest release 2 months ago