Foundations of Data Science: K-Means Clustering in Python
Completed by THOMAS JAMES HENDERSON
September 14, 2019
29 hours (approximately)
THOMAS JAMES HENDERSON'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: Unsupervised Learning
- Category: Data Analysis
- Category: Pandas (Python Package)
- Category: NumPy
- Category: Data Visualization
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Statistical Methods
- Category: Python Programming
- Category: Data Manipulation
- Category: Data Literacy
- Category: Analytics
