Dspyt blog tag: Data

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We investigate Filecoin's storage network, renewable energy use, and USD/Filecoin correlation, plus a prediction algorithm for future Filecoin demand.

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We collect and analyze the Ethereum blockchain data with Python and Dune Analytics, particularly focusing on Lazarus Group.

We describe how to select a research topic, study technique, and resources for high-quality data gathering on ethereum blockchain.

We are introducing the concept of a panel data and illustrate the example of panel data with python on the WHO births data set.

We discuss Convolutional Neural Networks, data augmentation, efficientnet classification and how to achieve 100% accuracy.

Sklearn python pipeline with multiple regression models using traditional and established libraries like numpy, pandas, scipy and sklearn.

In this article we are introducing the concept of cross sectional data. A cross sectional data example consists of a sample of units at a given point in time.

A time series is a collection of observations on at least one variable ordered along single dimension, time. time series forecasting is invaluable method.

In this project we utilize PARSIQ Smart Triggers and Google Spreadsheets integration to track and visualize AXS token transfers on Ethereum and Bsc.

We create 3 PARSIQ Platform Smart Triggers that respond to Crypto Punks directly related on-chain events and follow custom logic with parsiq wallet tracking.