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Confusion Matrices and Type Errors
Learn about the different machine learning model type errors and how to quickly visualize them in a simple to understand matrix.
Python Crash Course Review
Whether you're an absolute beginner to programming, looking for a quick way to learn the basics of the Python language, or an intermediate Pythonista looking to explore additional applications of Python programming using special libraries and frameworks, this book is perfect for you.
Intro to Cross-Validation: Holdout and k-Fold
Learn why you should be using Cross-Validation and how to incorporate it into your next project using either the Holdout or k-Fold method!
The Data Mining Process (CRISP-DM)
Learn how to structure your data science project from start to finish using the Cross-Industry Standard Process for Data Mining (CRISP-DM).
SMART Goals and Accountability
Learn the value of setting SMART goals and taking advantage of an accountability group.