Python Advanced OOP for Machine Learning
Master the art of class instantiation, metaclasses, and object-oriented programming in Python with this comprehensive course. Perfect for data analysts, scientists, software engineers, and entrepreneurs.
What you’ll learn
- Scroll down in the section called “Description”, where it says “Summary” for a surprise!
- Build expertise with classes
- Learn how to do class instantiation properly and efficiently
- Learn how to properly use metaclasses and why
- Decorate classes and improve performance
- Double the efficiency of the object oriented process
- Identify differences in meta/super/base/child classes
- Get strong in OOP
- Verify class relations in the most effective way
What is the course about:
Assume that a company hires you to develop a Machine Learning / Economics/ Data Science model on Python – or assume that the company gives you code and expects you to read and understand it quickly. This course gives you all the skills you need to clarify those complex topics that always pop up.
Knowing the details about classes, superclasses, dataclasses, metaclasses – can make a difference in how efficiently you build your model ! In this course we delve into these concepts in great detail.
Who:
I am Dr. Ros a Research Fellow ; I have been leading academia-industry projects related to energy investments using mathematical optimisation, machine learning and data science.
Doctor of Philosophy (PhD) in Analytics & Mathematical Optimization applied to Energy Investments, from Imperial College London.
Master of Engineering (M. Eng.) degree in Power System Analysis (Electricity) and Economics from National Technical University of Athens.
Important:
No pre-requisites and no experience required.
Every detail is explained, so that you won’t have to search online, or guess. In the end you will feel confident in your knowledge and skills.
We start from scratch, so that you do not need to have done any preparatory work in advance at all. Just follow what is shown on screen, because we go slowly and understand everything in detail.
Who this course is for:
- data analysts
- data scientists
- software engineers
- pythonistas and experts alike
- entrepreneurs
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