Dspyt blog tag: Data-science

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

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.