iOS app运行自动跟踪软件，包含页面进出跟踪，UI曝光跟踪，用户action跟踪三个子模块
A Django package to empower businesses in managing and visualizing product development workflows.
This is an end to end deep learning method Mcformer to utilize the customer clickstream data to predict the user purchase intention.
This project delivers an end-to-end product analytics solution, leveraging Google BigQuery and Python for data engineering, comprehensive EDA, and machine learning to optimize user conversion funnels and drive growth. It identifies critical user drop-offs and provides data-backed, actionable recommendations.
An interactive Power BI dashboard for detecting insider threats by analyzing user behavior logs with a Python-based statistical risk-scoring engine.
This project leverages machine learning and statistical analysis techniques to monitor and analyze user behavior patterns in an organization's network.
Studying users' behavior on specific web sites thanks to a browser extension which collects anonymous data for researchers from the UTC
Python-based User Behavior Analysis Project conducted in Google Colab. Explore, analyze, and optimize user experiences. 📊🚀 #DataScience #ProductAnalytics
Through this project, based on the characteristics, we will come up with another set of guided navigation, which can guide the user in case the user misses steps in a workflow on a consistent manner.
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