This course covers understanding confusion matrices, explaining ROC curves and AUC, participating in a Kaggle challenge, starting with machine learning in Python, and engaging in Q&A sessions about machine learning with text. The course aims to teach learners how to interpret and utilize these tools and skills in the field of machine learning. The teaching method includes webcasts and online courses. The course is intended for individuals interested in expanding their knowledge of machine learning, particularly in Python.
Overview
Syllabus
Making sense of the confusion matrix.
ROC Curves and Area Under the Curve (AUC) Explained.
Allstate Purchase Prediction Challenge on Kaggle.
Getting started with machine learning in Python (webcast).
Q&A about Machine Learning with Text (online course).
Taught by
Data School
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