Popular GitHub Repositories for Clickstream

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

This project implements machine learning to accomplish recursive binary hierarchical clustering of data primarily useful for any clickstream data along with providing cluster statistics for each cluster and visualization using d3js

A configurable Transformer-based model for clickstream data

This project focuses on analyzing Wikipedia's clickstream data to uncover patterns in how users navigate from one article to another. Utilizing Apache Spark and PySpark for data manipulation and analysis, the project aims to provide insights into user behavior on Wikipedia, including the most popular pathways to specific articles.

Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.