Foundations of Data Science: K-Means Clustering in Python
Completed by Christian De Achaval
March 20, 2024
29 hours (approximately)
Christian De Achaval's account is verified. Coursera certifies their successful completion of Foundations of Data Science: K-Means Clustering in Python
What you will learn
Define and explain the key concepts of data clustering
Demonstrate understanding of the key constructs and features of the Python language.
Implement in Python the principle steps of the K-means algorithm.
Design and execute a whole data clustering workflow and interpret the outputs.
Skills you will gain
- Category: Analytics
- Category: Machine Learning
- Category: Statistical Methods
- Category: Pandas (Python Package)
- Category: Data Visualization
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Data Literacy
- Category: Machine Learning Algorithms
- Category: Plot (Graphics)
- Category: Data Science
