Intro to Statistical Learning (2nd Ed), Solution to Problem 4.16A
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4.16AUsing the Boston data set,
4.16A
Using the Boston data set, fit classification models in order to predict whether a given census tract has a crime rate above or below the median. Explore logistic regression, LDA, naive Bayes, and KNN models using various subsets of the predictors. Describe your findings.
Hint: You will have to create the response variable yourself, using the variables that are contained in the Boston data set.
Colab (R): https://colab.research.google.com/dri...
Colab (Python): https://colab.research.google.com/dri...
My GitHub (R): https://github.com/nicklausmillican/I...
My GitHub (Python): https://github.com/nicklausmillican/I...
Download Book: https://www.statlearning.com/
Authors' Lectures (R): Statistical Learning with R
Authors' Lectures (Python): Statistical Learning with Python
Using the Boston data set, fit classification models in order to predict whether a given census tract has a crime rate above or below the median. Explore logistic regression, LDA, naive Bayes, and KNN models using various subsets of the predictors. Describe your findings.
Hint: You will have to create the response variable yourself, using the variables that are contained in the Boston data set.
Colab (R): https://colab.research.google.com/dri...
Colab (Python): https://colab.research.google.com/dri...
My GitHub (R): https://github.com/nicklausmillican/I...
My GitHub (Python): https://github.com/nicklausmillican/I...
Download Book: https://www.statlearning.com/
Authors' Lectures (R): Statistical Learning with R
Authors' Lectures (Python): Statistical Learning with Python
2 ماه پیش
در تاریخ 1403/04/14 منتشر شده
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