Telecommunications Archives

Customer Behavior Analysis using Feature Engineering and Data Modelling

This project enables learners to apply different Feature Engineering techniques to select appropriate features for Data Modeling.

Difficulty: Beginner
Duration: Approximately 3 hours

Telecommunications

Detecting Android Mobile Malware applications using Advanced Classification techniques

This project exposes to one of the well-known supervised machine learning modeling families most commonly known as Classification.

Difficulty: Advanced
Duration Approximately 3 hours

Telecommunications

Predicting Customer Churn in Telecommunications

This project focuses on Classification modeling for advanced data analysis and business intelligence.

Difficulty: Advanced
Duration: Approximately 3 hours

Telecommunications

Average Revenue Per User in Telecommunications

This project is designed for learners to Learn the basics of Machine Learning models as well as demonstrate how these models can be used to forecast A

Difficulty: Advanced
Duration: Approximately 2 hours

Telecommunications

Analyzing Wireless Data Speed Across Regions

This project builds a strong foundation on the concepts of Data Visualization techniques to analyze wireless data speed.

Difficulty: Beginner
Duration: Approximately 6 hours

Telecommunications

Analyzing Customer Ratings of Call Quality Across Regions

This project will exposes the learner to various Data Visualization Techniques to analyze customer's opinion.

Difficulty: Beginner
Duration: Approximately 5 hours

SOLUTIONS OVERVIEW

Pricing Options

SOLUTIONS OVERVIEW

Pricing Options

Use Cases

Customer Behavior Analysis using Feature Engineering and Data Modelling

Detecting Android Mobile Malware applications using Advanced Classification techniques

Predicting Customer Churn in Telecommunications

Average Revenue Per User in Telecommunications

Analyzing Wireless Data Speed Across Regions

Analyzing Customer Ratings of Call Quality Across Regions

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