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Avis et commentaires pour d'étudiants pour Support Vector Machine Classification in Python par Coursera Project Network

4.4
étoiles
141 évaluations
26 avis

À propos du cours

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....

Meilleurs avis

AM
2 mai 2020

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

AG
16 juin 2020

I like the way we got involved into practice by setting goals which are a bit challenging yet we want to achieve successfully.

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1 - 25 sur 26 Avis pour Support Vector Machine Classification in Python

par Rohit L

4 mai 2020

Course is completely different from the topic

par Ammar M

3 mai 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.

par Abhishek P G

17 juin 2020

I like the way we got involved into practice by setting goals which are a bit challenging yet we want to achieve successfully.

par OTOOSAKYI D O

30 nov. 2020

This project is very much educative from start to finish and it enables a beginner to master some key concepts.

par Ramya G R

8 juin 2020

I really enjoyed working with this project. Thank you so much for the valuable teaching.

par Nikhil K

6 mai 2020

Nice experience to get acquinted with the algorithm

par Khandaker M A

4 août 2020

Enjoyed a lot with the course. Good enough.

par Vishnu N

2 août 2020

It is good course to get to know about SVM

par Shreyas K

18 juin 2020

Good for beginners.

par Gangone R

4 juil. 2020

very useful course

par JONNALA S R

11 mai 2020

Simple Course

par Dr. J V S

27 juil. 2020

GOOD COURSE

par PAVITHRA B

8 sept. 2020

EXCELLENT

par SASI V T

12 juil. 2020

EXCELLENT

par Doss D

26 juin 2020

Thank you

par Vijayalaxmi

3 sept. 2020

Nice

par p s

23 juin 2020

Good

par Vajinepalli s s

16 juin 2020

nice

par MR. J T R A

13 juin 2020

good

par Pratirodh K

27 sept. 2020

it was a little bit hard to get message, when he did not write the code for visualizing and copied it. My code never get executed even I copied.

par Yasir A

12 sept. 2020

Good Course. But voice of instructor was not clear enough and he was very slow. Overall, I have learned some new things. Thanks Instructor.

par Deleted A

19 août 2020

Gave me a good intuition for applying SVM classifier in python as well as visualising predictions, thanks for

guiding me through this.

par alekhya b

17 mai 2020

It's very good course for beginnes

par Pranshu A

2 sept. 2020

Instructor should not use scikitlearn prebuilt module for svm classification project.

par Adarsh K

12 mai 2020

Nowhere SVM is used in this project.