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所在平台: Udemy |
课程主页: https://www.udemy.com/course/an-introduction-to-scikit-learn/
课程评论：没有评论
**课程名称:** Scikit-Learn 入门 **课程概述:** 本课程将深入探讨模型构建工作流程中的关键概念背后的理论。我们将学习如何进行数据预处理，并利用 scikit-learn 运行一系列模型，包括回归、支持向量机、神经网络和层次聚类方法。此外，我们还将讨论如何评估模型的性能，并通过交叉验证和超参数调优来改进模型。
This course will cover the theory behind many key concepts in the model building workflow. We will look at how to preprocess data and then how to use sklearn to run a series of models, including Regressions, Suport Vector Machines, Neural Networks and Hierarchical Clustering methods. We will also discuss how to evaluate models for their performance and improve them through Cross Validation and Hyperparameter Tuning.
