For two-group classification issues, a support vector machine (SVM) is a supervised machine learning model that uses classification techniques. They may categorise new text after feeding an SVM model sets of labelled training data for each category.
Support vector machines (SVMs) are a class of supervised learning methods for classification, regression, and detection of outliers. The following are some of the benefits of support vector machines: In high-dimensional spaces, it works well. When the number of dimensions exceeds the number of samples, the method is still effective.
Learner's Ratings
4.4
Overall Rating
70%
11%
11%
5%
3%
Reviews
R
Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
V
VIKAS CHOUBEY
5
very nicely explained
V
Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
M
Mohd Mushraf
5
Amazing Teaching
J
Juboraj Juboraj
5
Easy to understand & explain details.
J
Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
S
Shaga Chandrakanth Goud
5
Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
N
Neel Khairnar
5
Kushal is very good explainer he is covering all topics nicely 👍
Share a personalized message with your friends.