A Thrift spec for SIP, with a reference python implementation using pyshark.
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Updated
Mar 16, 2017 - Python
A Thrift spec for SIP, with a reference python implementation using pyshark.
Predicting customer churn using scikit-learn
Analysis of Mobile Money interoperability tariff data sourced from AirtelTigo Ghana, MTN Ghana and Vodafone Ghana.
Predicting Teleco churn dataset from Kaggle. In this repo, I take 3 solution notebooks and combine the analysis into one with some updates.
Open data project to increase transparency and understanding of telecommunications networks
What are the driving factors causing customers to leave?
World Mobile Chain: A blockchain based solution to empower a sharing economy for telecommunications infrastructure
Analyzing the Active subscribers and revenue generated in respective telecoms in Nigeria | Using Power BI
A server which allows you to route tasks to agents.
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