开始时间: 04/22/2022 持续时间: Unknown
所在平台: CourseraArchive 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/archive/supervised-learning-classification
课程评论:没有评论
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes.
Logistic Regression
Support Vector Machines
Ensemble Models
Modeling Unbalanced Classes
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification.