Clustering and Classification with Machine Learning in R
Completed by Sarah Miller
December 8, 2024
11 hours (approximately)
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What you will learn
Perform basic data pre-processing and wrangling in R Studio.
Implement and analyze unsupervised clustering techniques, such as K-means clustering.
Implement supervised learning techniques and classification methods, such as Random Forests.
Utilize dimensional reduction techniques (PCA) and feature selection.
Skills you will gain
- Category: Data Preprocessing
- Category: Machine Learning Software
- Category: Supervised Learning
- Category: Feature Engineering
- Category: Data Wrangling
- Category: Tidyverse (R Package)
- Category: Dimensionality Reduction
- Category: Ggplot2
- Category: Machine Learning Methods
- Category: R (Software)
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Algorithms
