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返回到 Support Vector Machine Classification in Python

学生对 Coursera Project Network 提供的 Support Vector Machine Classification in Python 的评价和反馈

20 个评分
6 条评论


In this 1-hour long guided project-based course, you will learn how to use Python to implement a Support Vector Machine algorithm for classification. This type of algorithm classifies output data and makes predictions. The output of this model is a set of visualized scattered plots separated with a straight line. You will learn the fundamental theory and practical illustrations behind Support Vector Machines and learn to fit, examine, and utilize supervised Classification models using SVM to classify data, using Python. We will walk you step-by-step into Machine Learning supervised problems. With every task in this project, you will expand your knowledge, develop new skills, and broaden your experience in Machine Learning. Particularly, you will build a Support Vector Machine algorithm, and by the end of this project, you will be able to build your own SVM classification model with amazing visualization. In order to be successful in this project, you should just know the basics of Python and classification algorithms....

1 - Support Vector Machine Classification in Python 的 6 个评论(共 6 个)

创建者 Rohit L

May 04, 2020

Course is completely different from the topic

创建者 Ammar M

May 03, 2020

Straight to the point, take a little bit of time and it is very useful for anyone seeking more knowledge in this domain.

Thumbs up to the instructor.

创建者 Nikhil K

May 06, 2020

Nice experience to get acquinted with the algorithm


May 11, 2020

Simple Course

创建者 Bara A A

May 17, 2020

It's very good course for beginnes

创建者 Adarsh k

May 12, 2020

Nowhere SVM is used in this project.