- Tidyverse (R Package)
- Data Manipulation
- Supervised Learning
- Data Processing
- Classification And Regression Tree (CART)
- Machine Learning
- Unsupervised Learning
- Dimensionality Reduction
- Exploratory Data Analysis
- Ggplot2
- Data Science
- Predictive Modeling
Clustering and Classification with Machine Learning in R
Completed by Mathieu Karel Licht
February 2, 2025
11 hours (approximately)
Mathieu Karel Licht's account is verified. Coursera certifies their successful completion of Clustering and Classification with Machine Learning in R
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
