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Machine learning course description: Are you interested in Machine learning? Then this course is for you. Machine learning is the …

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About Course

Machine learning course description: Are you interested in Machine learning? Then this course is for you. Machine learning is the science of getting computers to work without being explicitly programmed. Machine learning is so pervasive today that you will use it dozens of times a day without knowing about it. This course provides a broad introduction to Machine learning. It will take you step-by-step into the world of Machine learning. With each module of this course you will surely develop new skills. This course is packed with practical exercises that are based on real life examples. So you’ll learn about not only the theoretical knowledge, but you will also gain the practical knowledge of how to apply these techniques to solve evolving problems This course is aimed at complete beginners and doesn’t require any prior knowledge in programming. So anyone who wanted to start their career in programming can enroll for this course. Requirements:
  1. PC or Laptop with any OS
  2. Passion to learn
What you will learn: Machine Learning Basics Linear Regression Polynomial Regression Multiple Regression Feature Scaling Train and Test Features and benefits:
  • By the end of this course you will truly understand what computer science, Algorithms, Machine learning and Data science is.
  • You will learn how to avoid/solve problems with Machine learning to successfully implement it without losing your mind.
  Certification: When you finish the course, you'll earn a Certificate that you can share with prospective employers and your professional network. FAQ’s:
  1. Q) Do we get a completion certificate?
Ans. Yes. Students will get completion certificate.

About Instructor

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Nullclass
Courses
13
4.56 4.558333333333334
Reviews
163
Students
3072

Curriculum

  • Machine Learning Basics 00:21:00
  • Linear Regression 00:21:00
  • Polynomial Regression 00:20:00
  • Multiple Regression 00:15:00
  • Feature Scaling 00:15:00
  • Train And Test 00:17:00

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