Intro to Machine Learning with Python 3: Train Test Split and Baseline Modeling
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In this short course, I walk you through an introduction to data science and machine learning in Python using the classic Iris Dataset. You'll learn through doing, all in a single Jupyter Notebook.
In this video, you'll learn:
What a train test split is, and why we do it.
What our "random guessing" accuracy is.
How to create a manual model that performs really well! (And why we do this.)
How to assess the accuracy of our manual model.
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