The hyperplane (which in two dimensions is essentially a line) that optimally separates the tags is produced by a support vector machine using these data points. This line serves as a decision boundary: anything on one side will be classified as blue, while anything on the other will be classified as red.
The "Support Vector Machine" (SVM) is a supervised machine learning technique that can solve classification and regression problems.
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Ayush Bharti
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how can i download the finaldata.csv?
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Jagannath Mahato
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Hello Kushal Sir!
Your way of teaching is very good. I thank you from my heart ❤️ that you are providing such good content for free.
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Muhammad Qasim
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Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world.
Extremely helpful and I recommend to my peer as well for this course.
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Shafi Akhtar
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Aniket Kumar prasad
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Very helpful and easy to understand all the concepts, best teacher for learning ML.
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Rishu Shrivastav
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explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
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very nicely explained
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Vrushali Kandesar
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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)
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