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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-with-python-predicting-customer-churn/
课程评论：没有评论
**Coursera 课程总结：使用 Python 进行机器学习：预测客户流失** 本课程将引导您深入了解机器学习在预测客户流失方面的实际应用。您将学习如何利用 Python 和数据科学技术构建一个有效的客户流失预测模型。 **核心内容：** * **客户流失概念：** 理解客户流失（churn）的定义及其对企业的影响，以及企业如何通过预测和干预来降低流失率。 * **机器学习基础：** 学习如何使用 Python 实现实际的机器学习解决方案。 * **数据探索与分析：** * 数据集介绍 * 变量空间分析 * 变量之间的相互关系 * **模型构建与优化：** * 决策树（Decision Tree）的原理和应用 * 决策树参数调整 * 支持向量机（SVM）的原理和数学基础 * SVM 参数调优 **课程价值：** 通过本课程，您将掌握使用 Python 预测客户流失的关键技术，并能够独立构建和优化机器学习模型，为企业提供实际的解决方案。
The word "churn" refers to a customer giving up on that company. The reasons could be anything from faulty products to inadequate after-sales services. So, to counteract that, many companies are starting to predict the customer churn and taking steps to cease that trend with the help of AI and machine learning.What Makes this Course so Valuable?This course will introduce you to practical machine learning using Python and will use the problem of Customer Churn production to explain and build the machine learning model. This course will help you to understand how you can implement real world solution yourself.The Course Includes:Introduction to the datasetDigging deeper into variable spaceInterrelations between variablesDecision TreeTuning decision tree parametersSupport vector machines and Underlying mathematicsSVM parametersMaster How to Predict Customer Churn with Python Course Today!
