Machine Learning Python Course-Live Online and Offline

This course offers an introduction to Machine Learning with Python Programming. It is designed for beginners in all fields as a practical opportunity to start AI and Machine Learning for their own projects. The course will consist of 10 sessions, each lasting 90 minutes, spread over 5 weeks.

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Pejman Ebrahimi · August 29, 2023

Course Title: An Introduction to Machine Learning with Python Programming. This live course has been running in September 4 to October 3, 2023, 9 Sessions x 90 min, within 5 Weeks. The recorded video here are accessible for off-line participants, while they can still benefits also discussion forums and communication with our instructors and teaching assistants for further supports. Summary of the course content and notes by Teaching Assistants are provided here. Full recorded video of the live sessions by the instructor is accessible via following registration form

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Registration Fee: Regular 50 Euro, Discounts: Students 50%, World Academies (WAC) Members* 50 % , WAC-Students 60 %, WAC Group Leaders** & Selected RTR Applicants*** 70% (can be up to 100 % free via RTR Applications). Contact: workshop@world-academies.com

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Collaboration Opportunity: Selected participants would also have the opportunity for RTR (Remote Training and Research) collaboration with World-Academies, as well as with Academic & Industrial partners. For this purpose you can write down your interest in summary and then complete WAC RTR application*** form

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Lecturers:

Ph.D. Candidate Pejman Ebrahimi (WAC Expert in Data Science, Python, and Machine Learning).

Dr. Vahid Hosseinzadeh (WAC Expert in Machine Learning and Python Programming, Ph.D. in Computational Physics, Ph.D. Candidate in Machine Learning).

Course Content and Agenda:

Section I- Introduction to Python Programming

Session 1– AI and Machine Learning Importance in Fundamental Studies and Technological Applications, Data type, Operators, Variables, String, Formatted string.

Session 2- List, Tuple, Dictionary, Sets, Conditional logic, For loop.

Session 3- Iterate on List and dictionary, while loop and introduction to function.

Session 4– Function and scope in Python, Functional programming.

Session 5– Object-oriented programming (OOP) & Error handling & Modules.

Section II- Introduction to Machine Learning

Session 6– Pandas, Numpy

Session 7– Matplotlib, Machine learning with scikit-learn (Supervised learning: Regression)

Session 8– Machine learning with scikit-learn (Supervised learning: Classification)

Session 9– Introduction to Deep Learning

About the Instructor: Working Group of the Machine Learning with Python

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