This book is talking about machine learning concepts especially for software developers. It will focus more on data preparation, analysis and choose one of the most popular data lanuage R to build a series of examples.
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Data Analysis Process
Collect -> Clean -> Analyze -> Report
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Resources:
https://cran.r-project.org/web/packages/data.table/vignettes/datatable-intro.html 3. Handle missing values: https://machinelearningmastery.com/handle-missing-data-python/