Various ipython notebooks

Python Scripts and Jupyter Notebooks

Learn how FROST works by implementing it!

Is Bitcoin cloud mining profitable? Check the notebook to find out! (Not Clickbait)

Ethereum Solidity Development Overview

Where I keep all my jupyter notebooks

Predicting Bitcoin prices using Deep Learning

SNA on various social graphs including trading networks & Facebook friendship networks.

A collection of Jupyter Notebooks I've developed and shared publicly on Kaggle. Explore data analysis projects, machine learning models, and other insightful explorations across diverse datasets. Feel free to use, adapt, and contribute to these notebooks as you embark on your own data science journey!

some dumb and cool ideas.

This project is a collection of Jupyter notebooks and scientific papers that analyze Bitcoin markets using economical, financial and machine learning models.

Jupyter Notebook with a Crypto-currency Historical Data generator

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

Statistical Models Application to Bitcoin Daily Movement with Python via Jupyter notebook.

Codes and notebooks used for the paper.

Bit McCoin is a bitcoin trading bot. Here you will find the current training and testing notebooks for it under the notebooks directory.

In this project we will be working to generate model to find the variables affecting the cryptocurrency

Predicting Bitcoin closing prices using deep learning models (GRU, LSTM, Bidirectional GRU) with feature selection and training on various time periods. Developed in Python using 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.

Aplicación de modelos estadísticos al movimiento diario del Bitcoin con Python via Jupyter notebook.