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Embark on a comprehensive 5-hour machine learning course in Hindi, covering essential concepts from introduction to advanced algorithms. Explore linear and logistic regression, decision trees, random forests, Naive Bayes, and Support Vector Machines (SVM). Gain practical knowledge through demonstrations and examples, preparing you for a career in this rapidly growing field of artificial intelligence. Learn how machines can self-improve and tackle complex tasks, understanding the fundamental principles driving AI advancements across various industries.
Syllabus
➤ Skip Intro: .
Introduction .
Agenda .
Intro to Machine Learning .
Linear Regression .
Logistic Regression .
Decision Tree .
Random Forest .
Naive Bayes .
SVM.
Taught by
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