- Machine Learning Algorithms
- Probability & Statistics
- Python Programming
- Machine Learning
- Data Analysis
- Data Visualization
- Descriptive Statistics
- Data Science
- Unsupervised Learning
- NumPy
- Pandas (Python Package)
- Data Manipulation
Foundations of Data Science: K-Means Clustering in Python
Completed by Tsung-Che Li
November 6, 2024
29 hours (approximately)
Tsung-Che Li'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
