Python Machine Learning

by MCAL Global Claim Listing

In Python machine learning live online training course, you will learn to leverage Python to solve machine learning problems. You will learn about the most effective machine learning techniques, and their practical implementation through a hands-on approach.

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Course Details

In Python machine learning live online training course, you will learn to leverage Python to solve machine learning problems. You will learn about the most effective machine learning techniques, and their practical implementation through a hands-on approach.

Along with the perfect theoretical understanding of these machine learning techniques, you will also learn to quickly apply them to solve new problems. Each lecture has detailed and live explanations from the instructor and assignments to test your level of understanding.

Once you finish this course you would have taken a giant leap towards the future of machine learning.

 

?Highlights of Blockchain Certification Training:

  • This course will take you from zero to Python & Machine Learning hero in 45 days.
  • Learn Python from scratch and apply it to real Machine Learning problems.
  • Training Spread over 6 weekends to give you all required time for exercises and theory.
  • Training delivered in a “Live Online” session by a very experienced trainer from the United States.
  • After every weekend get a comprehensive assignment to further solidify your learning.
  • Lifetime access to recorded training session videos, so learning stays with you.
  • In-depth learning and practicals of Supervised & Unsupervised Learning.
  • Once you finish this course you would have taken a giant leap towards the future of data analysis.

 

Python Machine Learning course has been designed after detailed discussions with lots of industry leaders across the globe addressing the real-life problems faced by the industry today. Comprehensive course that gives the right learning of Machine Learning algorithms and their implementation using Python. 

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