Machine Learning for Telecom Customers Churn Prediction

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在此指导项目中,您将:
2 hours
初级
无需下载
分屏视频
英语(English)
仅限桌面

In this hands-on project, we will train several classification algorithms such as Logistic Regression, Support Vector Machine, K-Nearest Neighbors, and Random Forest Classifier to predict the churn rate of Telecommunication Customers. Machine learning help companies analyze customer churn rate based on several factors such as services subscribed by customers, tenure rate, and payment method. Predicting churn rate is crucial for these companies because the cost of retaining an existing customer is far less than acquiring a new one. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培养的技能

  • Artificial Intelligence (AI)

  • Machine Learning

  • Python Programming

  • classification

  • Computer Programming

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在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

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