From the course: Machine Learning Foundations: Statistics
What you should know - Python Tutorial
From the course: Machine Learning Foundations: Statistics
What you should know
- [Instructor] Before you get started with this course, there are a few things you should know. You should be familiar with the key concepts of algebra, pre-calculus, and probability. If you struggle with basic probability concepts, I highly encourage you to take my Machine Learning Foundation Probability course before taking this course. You should have a basic Python programming knowledge. We'll focus on statistic capabilities and their applications in Python Code. Our focus will be on the latest versions of Python 3. You will also want to make sure you have an account installed. We are going to be working with Jupyter Notebooks, so if you have never worked with Jupyter Notebooks before, then you can go check out the Jupyter Notebooks basics video in my course, Foundations of NumPy. Fortunately, everything you need for this course that's Python and Jupyter Notebooks can be acquired simply by installing the free Anaconda 3 distribution. And that's about it, so let's roll our sleeves and get started.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.