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To illustrate the interaction between feature selection and linear regression, I scraped 500 rows of game logs from stats.nba.com, placed them in a .csv file on one of our test Hadoop clusters ...
In addition to algorithm selection (manual or automatic), you’ll need to deal with optimizers, data cleaning, feature selection, feature normalization, and (optionally) hyperparameter tuning.
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