From the course: Machine Learning with Python: Logistic Regression
What you should know - Python Tutorial
From the course: Machine Learning with Python: Logistic Regression
What you should know
- [Instructor] Before we get started, let's go over some of the background knowledge that you should have in order to get the most out of this course. First, I assume that you have a fundamental understanding of what machine learning is, specifically supervised machine learning. If you don't, I recommend that you review my introductory LinkedIn Learning course, Machine Learning with Python: Foundations. Second, it would be helpful if you have some entry-level experience with coding in Python. I will assume that you know how to import a Python package, refer to the attributes of an object, and call the methods of an object. Next, it would also be helpful if you have some familiarity with the pandas and sklearn packages. If you don't, no worries. I will explain exactly what I'm doing when we do use external packages in the course. Finally, I do assume that you know how to use the Jupyter notebook interactive Python environment. Specifically, I assume that you know how to edit and run code within a code cell.
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