With Google Analytics using historical data. Sales forecasting is one of the most common tasks that a data scientist has to face in daily business.
Our case study is a bank that wants to develop a churn model to predict the probability of a customer to churn. The banking sector has become one of the main industries in developed countries. The technical progress and the increasing number of banks raised the level of competition. Banks are working hard to survive […]