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Classroom Contents
Extending Spark Machine Learning - Beyond Linear Regression
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- 1 Intro
- 2 Spark MLA
- 3 Introduction
- 4 The Good Stuff
- 5 Spark Datasets
- 6 Spark ML Adventure
- 7 Building a Transformer
- 8 Transform Schema
- 9 Word Count
- 10 Verify Input Schema
- 11 Verify Transform Schema
- 12 Pipeline Stage
- 13 Configurable Parameters
- 14 Crossvalidation
- 15 Example
- 16 Input columns
- 17 Classifier
- 18 Naive classifier
- 19 Vector assembler
- 20 Dataframe transformations
- 21 More code
- 22 Basetrade cadets
- 23 Lunch
- 24 Putting it in an ML pipeline
- 25 Publishing your ML model
- 26 Spark example repo
- 27 Spark books
- 28 Buy this book
- 29 Data and Comps
- 30 Questions
