On-Chain Analytics: Metrics for Analyzing Blockchains in Python

this tutorial is about working with blockchain data in python using the CryptoCompare api

Cryptocurrencies like Bitcoin or Ethereum are built on public blockchains, meaning anyone can see the transactions and trades happening on these networks. This transparency makes on-chain data an excellent resource for data science and machine learning. By examining transaction activity and the holdings of Bitcoin addresses, analysts can better understand … Read more

Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python

content-based recommender system python machine learning

Content-based recommender systems are a popular type of machine learning algorithm that recommends relevant articles based on what a user has previously consumed or liked. This approach aims to identify items with certain keywords, understand what the customer likes, and then identify other items that are similar to items the … Read more

Uncover Hidden Patterns in Financial Markets using Affinity Propagation Clustering in Python

Affinity Propagation Time Series Clustering Stock market Prediction

This article introduces affinity propagation – an unsupervised clustering technique that stands out from other clustering approaches by its capacity to resolve the number of clusters in a dataset. This tutorial shows how the affinity propagation model works by applying it to the cryptocurrency market. If you have followed recent … Read more

Cluster Analysis with k-Means in Python

clustering python machine learning k-mean

Cluster analysis is an unsupervised machine learning technique that groups similar objects into clusters and separates them from different ones. In unsupervised learning, the model recognizes patterns and associations from the data without requiring a target variable. This technique is beneficial for distinguishing objects whose similarities and differences are unknown. … Read more