Introduction

Machine Learning Using Spark.ML and Python Building a Demographic Classifier Using Spark.ML and Python
6 minutes
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Introduces course topics: - Extract, transform and select (ETS) - Vocabulary extraction - Sparse representation - Converting a document into a vector Introduces a key tool: - Count vectorizer extractor - Frequency vocabulary size parameter - Choosing between using token counts or token occurrences

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