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Data Mining for Data Sci & Anlyc_NEC_All_7_Weeks_Solved

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Datamining_for_DataSci&Anlyc_NEC_Week6_Solved Datamining_for_DataSci&Anlyc_NEC_Week6_Solved

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    Datamining_for_DataSci&Anlyc_NEC_Week6_Solved

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    8
    August 2023
    2023/2024
    A+
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  • Study this example: Copy and paste the provided R source code into an R markdown file and make it run. Weave an explanation of the model and it's conculsions into your markdown file.
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Datamining_for_DataSci&Anlyc_NEC_Week5_Solved Datamining_for_DataSci&Anlyc_NEC_Week5_Solved

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    Datamining_for_DataSci&Anlyc_NEC_Week5_Solved

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    37
    August 2023
    2023/2024
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  • Using Chapter 5, we will experiment with association analysis.
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Datamining_for_DataSci&Anlyc_NEC_Week4_Solved Datamining_for_DataSci&Anlyc_NEC_Week4_Solved

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    Datamining_for_DataSci&Anlyc_NEC_Week4_Solved

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    38
    August 2023
    2023/2024
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  • Using Chapter 4, let's look at other ways to do classification - nearest neighbors, decisions trees, support vector machines, even neural nets.
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Datamining_for_DataSci&Anlyc_NEC_Week3_Solved Datamining_for_DataSci&Anlyc_NEC_Week3_Solved

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    Datamining_for_DataSci&Anlyc_NEC_Week3_Solved

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    32
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    2023/2024
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  • Using Chapter 3, let's about classification. This week we will be using the zoo dataset, another common dataset among data mining classes.
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Datamining_for_DataSci&Anlyc_NEC_Week2_Solved Datamining_for_DataSci&Anlyc_NEC_Week2_Solved

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    Datamining_for_DataSci&Anlyc_NEC_Week2_Solved

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    August 2023
    2023/2024
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  • Using Chapter 2, let's learn how to explore data. We will be using the Iris dataset which is commonly one of the first datasets used in data mining classes.
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Datamining_for_DataSci&Anlyc_NEC_Week1B_Solved Datamining_for_DataSci&Anlyc_NEC_Week1B_Solved

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    Datamining_for_DataSci&Anlyc_NEC_Week1B_Solved

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    2
    August 2023
    2023/2024
    A+
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  • Edit the provided R Markdown document so that It contains your name and then knit it as HTML.
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Datamining_for_DataSci&Anlyc_NEC_Week1A_Solved Datamining_for_DataSci&Anlyc_NEC_Week1A_Solved

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    Datamining_for_DataSci&Anlyc_NEC_Week1A_Solved

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    August 2023
    2023/2024
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  • We will be using examples from the book An R Companion for Introduction to Data Mining by Michael Hahsler. Every week you will be assigned a new example from this book. The instructions for each week are identical: copy and paste the source code into R studio and run it. understand what it does, explain how the dataset is processed, generate every graph, etc. document your work in an R Markdown document.
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