Foundations of Data Science: K-Means Clustering in Python
Completed by Abhishek Chandar
June 28, 2019
29 hours (approximately)
Abhishek Chandar'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: Applied Machine Learning
- Category: Plot (Graphics)
- Category: Data Visualization
- Category: Data Literacy
- Category: Machine Learning Algorithms
- Category: Pandas (Python Package)
- Category: Python Programming
- Category: Analytics
- Category: Unsupervised Learning
- Category: Statistics
- Category: NumPy
- Category: Data Processing
