Prepare a question about this code and post it on the RStudio Community thread l

Prepare a question about this code and post it on the RStudio Community thread listed in the assignment. 1. Ask a clear question about the code in English. Tell us what you expect and what is happening. 2. Use the reprex package to create an example in R. Your reprex should be something that I… Continue reading Prepare a question about this code and post it on the RStudio Community thread l

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Prepare a question about this code and post it on the RStudio Community thread l

Prepare a question about this code and post it on the RStudio Community thread listed in the assignment. 1. Ask a clear question about the code in English. Tell us what you expect and what is happening. 2. Use the reprex package to create an example in R. Your reprex should be something that I… Continue reading Prepare a question about this code and post it on the RStudio Community thread l

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Create a report that summarizes and visualizes data that evaluate a topic of you

Create a report that summarizes and visualizes data that evaluate a topic of your own choice from the National Health and Nutrition Examination Survey (NHANES). Section 1: Determine one category in “Laboratory Data” that you want to analyze ◦ Read the description of variables and search for information about how those measurements are used to… Continue reading Create a report that summarizes and visualizes data that evaluate a topic of you

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Create a report that summarizes and visualizes data that evaluate a topic of you

Create a report that summarizes and visualizes data that evaluate a topic of your own choice from the National Health and Nutrition Examination Survey (NHANES). Section 1: Determine one category in “Laboratory Data” that you want to analyze ◦ Read the description of variables and search for information about how those measurements are used to… Continue reading Create a report that summarizes and visualizes data that evaluate a topic of you

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Week 5 Lab Assignment¶ Tree-based Models Tree-based model is useful for classifi

Week 5 Lab Assignment¶ Tree-based Models Tree-based model is useful for classification and regression problems where one has a set of predictor variables X and a single reponse Y. Why we use tree-based models? They are easier to interpret and discuss than linear models. Also, we do not have to worry about missing values or… Continue reading Week 5 Lab Assignment¶
Tree-based Models
Tree-based model is useful for classifi

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Week 5 Lab Assignment¶ Tree-based Models Tree-based model is useful for classifi

Week 5 Lab Assignment¶ Tree-based Models Tree-based model is useful for classification and regression problems where one has a set of predictor variables X and a single reponse Y. Why we use tree-based models? They are easier to interpret and discuss than linear models. Also, we do not have to worry about missing values or… Continue reading Week 5 Lab Assignment¶
Tree-based Models
Tree-based model is useful for classifi

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# Exercise #1: List the Nine_neighbors # your code here Nine_balance<-arrange(na

# Exercise #1: List the Nine_neighbors # your code here Nine_balance<-arrange(names, income)[ Exercise 2 Use knn function in class package and predict labels in the test data with knn when k=5. Use set.seed(4230) and name the p # Exercise #3: knn results when k=10 # your code here # Exercise #4: Performance measure # your… Continue reading # Exercise #1: List the Nine_neighbors
# your code here
Nine_balance<-arrange(na

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# Exercise #1: List the Nine_neighbors # your code here Nine_balance<-arrange(na

# Exercise #1: List the Nine_neighbors # your code here Nine_balance<-arrange(names, income)[ Exercise 2 Use knn function in class package and predict labels in the test data with knn when k=5. Use set.seed(4230) and name the p # Exercise #3: knn results when k=10 # your code here # Exercise #4: Performance measure # your… Continue reading # Exercise #1: List the Nine_neighbors
# your code here
Nine_balance<-arrange(na

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this project has to be done in RMarkdown The dataset attached, rubric and projec

this project has to be done in RMarkdown The dataset attached, rubric and project information is attached please follow project rubric. Dataset found on Kaggle: Swiss banknote counterfeit detection (https://www.kaggle.com/datasets/chrizzles/swiss-banknote-conterfeit-detection) please answer only part a, c a)PCA analysis group includes: This group will use PCA to reduce the dimension of data. At the same time… Continue reading this project has to be done in RMarkdown
The dataset attached, rubric and projec

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