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      Home / CS513

      CS513

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      • Course: CS-513 (Solution)

        Course: CS-513 (Solution)

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      • CS513 -  (Solution)

        CS513 – (Solution)

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      • CS513 -  (Solution)

        CS513 – (Solution)

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      • CS513 -  (Solution)

        CS513 – (Solution)

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      • CS513 -  (Solution)

        CS513 – (Solution)

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      • CS513 - 1-Load the “breast-cancer-wisconsin.data.csv” from canvas into R and perform the EDA analysis by: (Solution)

        CS513 – 1-Load the “breast-cancer-wisconsin.data.csv” from canvas into R and perform the EDA analysis by: (Solution)

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      • CS513 - 9.1 (Solution)

        CS513 – 9.1 (Solution)

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      • CS513 - HOMEWORK 06 (Solution)

        CS513 – HOMEWORK 06 (Solution)

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      • CS513 - HOMEWORK 7 (Solution)

        CS513 – HOMEWORK 7 (Solution)

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      • CS513 - Intro to R: Homework 2 (Solution)

        CS513 – Intro to R: Homework 2 (Solution)

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      • CS513 - Use the knn methodology (k=3,5 and 10) to develop a classification models for the Diagnosis. (Solution)

        CS513 – Use the knn methodology (k=3,5 and 10) to develop a classification models for the Diagnosis. (Solution)

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      • CS513 - Use the Naïve Bayes methodology to develop a classification model for the (Solution)

        CS513 – Use the Naïve Bayes methodology to develop a classification model for the (Solution)

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