Support Vector Machine is preferred by many as it produces significant accuracy with very little computational power. The Support Vector Machine initially constructs a hyperplane or a set of hyperplanes that are used to divide or separate the different classes. It is called Support Vector Machine as the two nearest data points of the different classes support its formation. In this Support Vector Machine in Hindi Course, we learn about SVM and implement the algorithm with Python.
What you'll learn
Support Vector Machine - in Hindi
Syllabus 2
Introduction to Support Vector Machine
Support Vector Machine Hands-on
Advantages and disadvantages
Advantages
Free, short, with a free certificate.
Made in India, with examples Indian students will recognise.
Free certificate when you finish.
Completely free.
Self-paced: start any time.
A clear syllabus (2 parts) you can see before you start.
Hands-on: you build or practise, not just watch.
Taught in Hindi.
Disadvantages
Introductory; the certificate carries little weight with employers.
Expect follow-up calls and emails about paid programs.
Short (30 minutes): an overview, not deep coverage.
Some points apply to every course of this kind; see how we rank.
Free, with a free certificate
Free: Sign up with your email or phone to watch.
Certificate: Free when you finish the videos and quiz.
Taught by
Mr. Bharani AkellaBharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Pytho…
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