Foundations of Data Science: K-Means Clustering in Python
Completed by Mari Therese Salonga
February 6, 2024
29 hours (approximately)
Mari Therese Salonga'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: Descriptive Statistics
- Category: Data Processing
- Category: Python Programming
- Category: NumPy
- Category: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Data Science
- Category: Statistical Methods
- Category: Machine Learning
- Category: Plot (Graphics)
- Category: Statistics
- Category: Data Literacy
