Many people prefer the support vector machine because it produces great accuracy while using less computing power. SVM (Support Vector Machine) is a type of machine that may be used for both regression and classification. However, it is extensively employed in categorization goals.
The Support Vector Machine, or SVM, is a linear model that can be used to solve classification and regression issues. It can solve both linear and nonlinear problems and is useful for a wide range of applications. SVM is a basic concept: The method divides the data into classes by drawing a line or hyperplane.
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Sachin Pandey
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in my jupyter notebook recommendations is not showing for any functions
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Zeyan Khan
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How to Learn a Deep Learning Course. As in the video, Sir says you can learn sequential in the Deep Learning course, so how can i learn? Please tell me anyone.
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Krishna
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very easy explaination for career
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Omsingh Sachin Thakur
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Amazing course with hands on practicals
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Laxmikant Raghuwanshi
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Effective Learning with simple language.
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Haseen Ur Rahman
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Very helping Platform for learning different skills.
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DEEPAK PALI
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BEST PLATFORM FOR LEARNING
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Suresh Kumar
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Hi Sir,
I want a clearity up on these
1. To learn Data Science "Machine learning" is part of it but we have to learn additionally python libraries (panda, numpy, matplotlib) or else in ML enough.
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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!
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