Analytics | Technology

Machine Learning Bootcamp

Learn how to apply the most common Machine Learning techniques and enable Artifical Intelligence (AI).
Advanced 6 classes / 10 weeks Offline or Online

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Cutting a long story short

About the course

Data science has become a core competency every company wants to develop. It is one of the most sought-after skills today and gives companies the ability to look into the future. In this boot camp we’ll guide you through the most important data science techniques and teach you how to apply them and assess their outcomes in Python.

The course

What you will learn in this course

Scitkit Learn in Python

Learn how the famous Machine Learning library ‘Scikit Learn’ in Python works.


Supervised learning techniques

Learn how to predict future events or outcomes. For example: Which customer is going to terminate its contract? How much revenue can I expect next year?


Unsupervised learning techniques

Discovers patterns in data to make better-informed decisions. For example: Can we distinguish customer segments in our client database? How can we acquire insight from text files and e-mails?


Model operationalization

Learn how to put your models in production and monitor its activity and performance.


The course

For who is this course?

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Aspiring data scientists who want to learn core data modeling skills.

Data analysts who want to go beyond Excel.

Data engineers who want to broaden their skill set.

Still in doubt if this course is for you?

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Your growth is recognized!

After completing this course you will earn this official BAYZ certificate.

Add it easily to your Linkedin profile and CV

Show your newly acquired skills to the world

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Can I follow any of the courses online?

Yes, all courses are offered both in offline classrooms or online (via MS teams).

Do I get a qualification after finishing a course?

Yes, after finishing a course you’ll get an official digital certificate issued by BAYZ. You can add this certificate to your CV, add it to your LinkedIn profile and share it via other social media.