- Machine Learning Algorithms
- Python Programming
- Data Visualization
- Data Analysis
- Matplotlib
- Machine Learning
- Data Manipulation
- Unsupervised Learning
- Probability & Statistics
- Data Science
- Descriptive Statistics
- Pandas (Python Package)
Foundations of Data Science: K-Means Clustering in Python
Completed by David Roqui
December 15, 2020
29 hours (approximately)
David Roqui'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
