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.

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arrow Highlights of the course

  • This course will take you from zero to Machine Learning hero in 45 days.
  • Learn Python from scratch and apply them to solve 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 Data Science professional with vast experience in Training.
  • 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 practice Supervised and Unsupervised Learning.
  • A detailed project to give hands-on machine learning experience
  • Once you finish this course you would have taken a giant leap towards the future of data analysis.

arrow Why this course?

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. All the machine learning libraries of Python are explained in detail. Machine learning is made simple for you to get started and multiple case studies and exercises are provided to give you a better understanding of Machine Learning.The duration of the course has been strategically set for 45 days so that you have enough time to complete the exercises and understand the Machine Learning concepts in depth. Training will be conducted over weekends so working professionals can easily attend this course Build ‘High-value predictions’ that can guide better decisions and smart actions in real time without human intervention.

 arrow Tools Covered in Python Machine Learning


 arrow Who can attend this course?

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arrow Curriculum

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arrow Client Testimonials


Amod Gadre

Vice President Deustche Bank,
Bengaluru, India

“MCAL Machine Learning a very good course to cover the basics of Python and ML.This course has helped me build the necessary foundation, on which I can build specific expertise on my own. The instructor was excellent and with the hands on approach the session everyone involved.”
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Sujay Mahajan

Lead Projects Tech Mahindra Americas Inc,
Dallas, US

“The training was extremely good and informative . Instructor’s hands on & practical approach was extremely helped in the overall course. Attending the training as a good start to getting deeper into subject as concepts are clear.”
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Sandeep Bhadange

Delivery Lead Capgemini,
Mumbai, India

“The teaching is brilliant! If you have no idea about Machine learning (or programming for that matter), you may still join this course. By the end of it, you will be able to reach a level from where you will have a clear vision of how to proceed in the future. You may not be able to apply for a Machine Learning job immediately(atleast not without putting in some additional hands-on hours), but you will learn enough to know what to do next to land a job in the Machine Learning space. The trainers are knowledgeable and you will not get the sort of personalized attention you will get here. I had a great time learning with MCAL and I will surely join another one of their courses soon.”Read more


Raghav Kanojia

Software Engineer Bombardier Transportation,Kalyan, India

“Teaching is very good. Live session is good. Answered every silly questions. Very good experience. Keep it UP.”

arrow FAQ

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