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Classroom Contents
Building Your First Machine Learning Model and Model Validation - Day 9
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- 1 Intro
- 2 What is the first ML model
- 3 What is model fitting
- 4 Picking the variables
- 5 Example
- 6 Columns
- 7 Exploratory Data Analysis
- 8 Missing Values
- 9 Drop Data Points
- 10 Drop Missing Values
- 11 Dot Notation
- 12 Choosing Features
- 13 Build Model
- 14 Steps in Building a Model
- 15 Step 1 Specify Prediction Target
- 16 Step 2 Create Predictive Features
- 17 How good is the model
- 18 What is model validation
- 19 What is mean absolute error
- 20 How to check mean absolute error
- 21 In sample score
- 22 Model validation
