- Ggplot2
- Applied Machine Learning
- Data Manipulation
- Unsupervised Learning
- Data Science
- R Programming
- Statistical Programming
- Data Preprocessing
- Supervised Learning
- Predictive Modeling
- Dimensionality Reduction
- Classification Algorithms
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
