-0.0015 Tc -0.002 Tc f 17 0 obj 0.68 0 TD -13.278 -1.0833 TD 12 0 0 12 105.375 397 Tm 0 -1.3464 TD 0.0659 Tc ( [1.51811,1.51858\) : 2 \(4\))Tj 381 189 1.24 -0.24 re 0 Tc /TT6 1 Tf ()Tj /TT11 1 Tf Who should take this course?

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You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. 0 J 0 j 0.5 w 10 M []0 d [(3.6)-1381.2(102.5)]TJ /TT4 1 Tf 0 Tc /TT17 1 Tf f (Al )Tj -0.0095 Tc 0 Tw 354 219 l 0.0645 Tc /TT2 4 0 R [(2.7)-1935.5(90.6)]TJ ()Tj (specific attribute to the decision process.

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