• Follow Us On :
Data Science & AI Courses

Essential Beginners Machine Learning Data Science & AI Courses For You 2024

Learn Machine Learning Data Science & AI Courses right from your home. Train with the best and work for the best

  • 12
  • 150 Hrs
  • 46
  • (4.3)

To maximise your learning experience in our Machine Learning course, we recommend certain prerequisites. These primarily include prior experience with data-centric work.

We encourage familiarity with statistical software, such as R or Python. A foundational understanding of linear algebra and calculus will also be beneficial.

An understanding of basic machine learning constructs, such as supervised and unsupervised learning, can further enhance your grasp of the course content. However, this is not a strict prerequisite, as the course is designed to cater to a range of competencies.

This course is also fully accessible to beginners. If you lack prior experience, our expertly curated course content will ensure all necessary concepts are introduced and comprehensively covered, setting a firm foundation for your journey into machine learning.

What Will You Learn?

This tutorial offers a swift yet comprehensive learning experience, ensuring mastery through efficient instruction and practical examples.

  • module 1: JAVA PROGRAMMING ESSENTIALS
  • module 2: JAVA DECLARATIONS AND INTERFACES
  • module 3: JAVA OBJECT ORIENTATION AND METHODS
  • module 4: JAVA FLOW CONTROL AND EXCEPTION HANDLING
  • module 5: INTRODUCTION TO TESTNG
  • module 6: BASICS OF MACHINE LEARNING FOR AUTOMATION
  • module 7: MACHINE LEARNING INTEGRATED DEVELOPMENT ENVIRONMENT (IDE)
  • module 8: MASTERING XPATH
  • module 9: ADVANCED MACHINE LEARNING AND WEBDRIVER
  • module 10: DESIGNING AUTOMATED TESTS
  • module 11: EFFECTIVE TEST DATA MANAGEMENT
  • module 12: CRAFTING AUTOMATION FRAMEWORKS WITH MACHINE LEARNING

Student Ratings & Reviews

4.3
Total 2 Rating
5
2
4
1
3
0
2
0
1
0

Join us & Spread Experiences

Sign up now for a free demo of our cutting-edge software training program.

Object Object