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學生對 Coursera Project Network 提供的 Machine Learning for Telecom Customers Churn Prediction 的評價和反饋

4.4
11 個評分
2 條評論

課程概述

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....
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1 - Machine Learning for Telecom Customers Churn Prediction 的 2 個評論(共 2 個)

創建者 Vinoth S U

2021年7月13日

Great path to learn ML Algorithm

創建者 Marco T

2021年4月12日

Course was good and clear