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Learning Objectives
Python FOR Excel vs. Python IN Excel
Initialization and Anaconda Distribution
The Execution Model
What Cannot vs. Can be Done in Python in Excel
Step 1: The Data and the Learning Problem
Step 2: Set up our ML Experiment
Step 3.1: Feature Exploration – Pairplot
Step 3.2: Feature Exploration – Dimension Reduction (PCA)
Step 4.1: Classification – Decision Boundary
Step 4.2: Classification – Confusion Matrix
What's next?
End of course survey