Efficiently Segment Customers using Hierarchical Clustering in Python

hierarachical clustering python machine learning

Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more effectively? One solution is to use hierarchical clustering, a method of grouping customers into clusters based on their characteristics and behaviors. By dividing your customers into distinct groups, you can … Read more

Univariate Stock Market Forecasting using Facebook Prophet in Python

Facebook Prophet

Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by Facebook’s Core Data Science team. Built on top of the PyStan library, Facebook Prophet offers a simple and intuitive interface for creating forecasts using historical data. What sets Facebook Prophet … Read more

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

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

Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python

house price prediction hyperparameter tuning

Finding the perfect hyperparameters for your machine learning model can be like searching for a needle in a haystack – unless you use random search. This efficient method automates the process of hyperparameter tuning, so you don’t have to spend hours manually testing different configurations. Hyperparameters are model properties (e.g., … Read more