A support vector machine (SVM) is a supervised machine learning model that solves two-group classification problems using classification techniques. They can categorize new text after providing an SVM model with sets of labeled training data for each category.
SVM is a binary classifier based on supervised learning that outperforms other classifiers. SVM distinguishes between two classes by building a high-dimensional feature space hyperplane that can be utilized for classification.
SVM is a supervised machine learning technique that can perform classification, regression, and even outlier detection. A straight line is drawn between two classes by the linear SVM classifier.
Learner's Ratings
4.6
Overall Rating
63%
37%
0%
0%
0%
Reviews
R
Rohit Khare
4
What will be the mandatory requirement of configuration of PC for this ML tool
M
Muhammad Fahad Bashir
5
Explained the concept easily
P
Pradeep Kumar Kaushik
5
Please give me iris,csv file.
A
Ankit Malik
4
where is the finaldata.csv
V
Vimal Bhatt
5
great learning plateform kushal sir is really too good
Share a personalized message with your friends.