课程介绍

This is an introduction course to Machine learning for classification

This course cover several popular classification methods and some validation methods.

You will learn the theory behind k nearest neighbors, Logistic Regression, Support Vector Machines, Trees and Random Forests. Then learn how to apply and test these models on python using scikit-learn.

课程大纲

考核标准

课件浏览100%,客观练习0%,主观练习0%,课内讨论0%。
课程内容不断迭代，成绩以当时的课程内容为准，一旦合格，可以申请证书。申请证书后，以结课处理，成绩不再改动