A short summary
The foundation of this course is a realistic approach to Machine Learning and Data Science.
Starting with the fundamental Python libraries and progressing to the implementation and execution of more complex level predictions.
Although there are no prerequisites for this course, you can read the python basic documentation included in the course materials.
Before beginning this course, you must have a clear understanding of Python.
There will be several data science-based tasks, which will include
This course is intended for the following individuals:
Python programmers who are interested in Data Science
Anyone interested in Data Science or Machine Learning.
Students who wish to study Machine Learning and have at least a high school math experience.
Any intermediate-level individual who understands the fundamentals of machine learning, including classic algorithms such as linear regression and logistic regression, but wants to learn more and explore many of the various fields of machine learning.
Anyone who isn’t used to coding but is interested in Machine Learning and wants to apply it to large datasets quickly.
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