Foundations of Data Science: K-Means Clustering in Python
Completed by Nicholas Kim Thompson
July 12, 2021
29 hours (approximately)
Nicholas Kim Thompson'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: Python Programming
- Category: Data Science
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Statistical Methods
- Category: Data Analysis
- Category: Unsupervised Learning
- Category: Pandas (Python Package)
- Category: NumPy
- Category: Data Manipulation
- Category: Descriptive Statistics
- Category: Machine Learning Algorithms
