Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.

It is a Business Case Problem Used in Data Science Consulting and Engineering. Data Science always helps us to take important Business Decisions which leads to development of the Organization and also helps to avoid any Disaster by taking any gut-feeling decisions. Here In This Dataset I have Predicted the Behaviours of the Customers through their App Usage to Predict and Formulate different Policies and Rules for Different Set of Customers.

Simulation of agents competing for resources with different strategies

A Framework for Analysing Resource Behaviour

基于可穿戴设备运动传感器数据的行为检测