R Classification & Clustering
RStudio
| Intermediate
- 8 videos | 38m 42s
- Includes Assessment
- Earns a Badge
Explore the advantages of the programming language R in this 8-video Skillsoft Aspire course. An essential skill for statistical computing and graphics, R is the tool of choice for data science professionals in every industry and field. It both creates reproducible high-quality analyses, and offers unparalleled graphic and charting capabilities. Learners will examine how to apply classification and clustering methods to data science problems by using R. Key concepts covered in this course include performing the preparatory steps needed to create a classification and decision tree; using the rpart library and ctree library to build a decision tree; and how to perform the preparatory steps needed to carry out clustering. Next, explore use of the k-means clustering method; using hierarchical clustering with the hclust and cutree methods; and applying a decision tree method to a classification problem. Finally, learn to train a decision tree classifier by using the data and a relationship inside of those data.
WHAT YOU WILL LEARN
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Perform the preparatory steps needed to create a classification and decision tree
Use the rpart library to build a decision tree
Use the ctree library to build a decision tree
Perform the preparatory steps needed to carry out clustering -
Use the k-means clustering method
Use hierarchical clustering with the hclust and cutree methods
Apply a decision tree method to a classification problem
IN THIS COURSE
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1m 34s
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6m 28sDuring this video, you will learn how to perform the preparatory steps needed to create a classification and decision tree. FREE ACCESS
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3. Using rpart5m 34sIn this video, you will learn how to use the rpart library to build a decision tree. FREE ACCESS
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4. Using ctree6m 10sIn this video, you will learn how to use the ctree library to build a decision tree. FREE ACCESS
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5. Preparing Data for Clustering4m 4sFind out how to perform the preparatory steps needed to carry out clustering. FREE ACCESS
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6. Using K-Means Clustering3m 49sTo find out how to use the k-means clustering method, consult a statistics textbook or search for a tutorial online. FREE ACCESS
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7. Using Hierarchical Clustering5m 20sIn this video, you will use hierarchical clustering with the hclust and cutree methods. FREE ACCESS
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8. Exercise: Creating a Decision Tree5m 43sIn this video, you will learn how to apply the decision tree method to a classification problem. FREE ACCESS
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