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I created a histogram to display a given ETH 2.0 validator's performance in terms of inclusion distance and display their percentile. I also created polynomial regression and neural network algorithms to predict blockchain prices. Both of these were created using Numpy and Matplotlib.

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kdonthi/ETH-2.0-Advanced-Analytics

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ETH 2.0 Advanced Analytics

Overview

This is a project to create advanced analytics about validators and prices in the Ethereum 2.0 blockchain.

  1. I have created a program to create a histogram to measure a specific validator's performance against other validators Histogram.py with instructions in Histogram.md) and

  2. A model to predict Blockchain prices (CryptocurrencyPricingAnalysis.py with instructions in CryptocurrencyPricingAnalysis.md).

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I created a histogram to display a given ETH 2.0 validator's performance in terms of inclusion distance and display their percentile. I also created polynomial regression and neural network algorithms to predict blockchain prices. Both of these were created using Numpy and Matplotlib.

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