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.
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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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