Introduction to AI Model Optimization

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01. Introduction
02. Exercise: Load, Inspect and Clean Data
03. Exercise Solution
04. A High Level Review
05. Peeking Under the Hood
06. AI Models as Optimizers
07. Models Optimization: Optimizing the Optimizer
08. Model Inputs: Features vs Samples
09. Data Preparation
10. Feature Engineering and Feature Scaling
11. Feature Selection
12. Train-Test-Split, Data Leakage, and Other Considerations
13. Demo 1: Data Cleaning and Preprocessing
14. Demo 2: Feature Engineering and Scaling

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02. Exercise: Load, Inspect and Clean Data

In this exercise, you will apply some of the data preparation skills discussed in the lesson.

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