Foundations of Data Science: K-Means Clustering in Python
Completed by William Lott
March 25, 2024
29 hours (approximately)
William Lott'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: Data Visualization
- Category: Unsupervised Learning
- Category: Pandas (Python Package)
- Category: NumPy
- Category: Machine Learning Algorithms
- Category: Data Manipulation
- Category: Descriptive Statistics
- Category: Data Science
- Category: Data Processing
- Category: Analytics
- Category: Plot (Graphics)
- Category: Statistics
