Support Vector Machine in Hindi
Enroll in Support Vector Machine in Hindi course to learn to construct Hyperplanes & separate classe
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About this course
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.
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What is a Support Vector Machine?
Support vector machines (SVM), also called support vector networks, are supervised learning models. They are associated with learning algorithms analyzing data for classification and regression analysis. Vector machines are the most robust prediction methods since they are statistical-based frameworks. SVM training algorithms develop models that assign new examples to a category or another, which makes it a non-probabilistic binary linear classifier.
How to learn Support Vector Machines in Hindi?
To learn support vector machines in Hindi, you can enroll in Great Learning Academy’s free online course. It is a short course of 30 mins, but you are free to learn at your leisure since the course is self-paced. You will get a certificate of completion for the SVM in Hindi course after you complete the modules and the assigned tasks.
What will you learn in the Support Vector Machine Course in Hindi?
The support vector machine course in Hindi is a half an hour course, and it speaks about SVM in brief, giving you all the insights you need to get your hands-on with it. The course will give you a demonstration to start with SVM and get a head start in the field.