  This paper studies the case of big data-based intelligent product potential
customer mining internal competition in China Telecom Shanghai Company. Huge
amounts of data based on big data table, the use of machine Learning and data
analysis technology, using the algorithm of LightGBM, PySpark machine Learning
algorithms, Positive Unlabeled Learning algorithm, and predict whether
customers buy whole house product, precision marketing into artificial
intelligence for the customer, large data capacity, promote the development of
intelligent products of the company.
