- Data Analysis
- NumPy
- Data Manipulation
- Unsupervised Learning
- Data Visualization
- Machine Learning
- Matplotlib
- Probability & Statistics
- Machine Learning Algorithms
- Pandas (Python Package)
- Data Science
- Statistics
Foundations of Data Science: K-Means Clustering in Python
Completed by ROBERTO ISRAEL DE LA ROSA CRUZ
March 11, 2021
29 hours (approximately)
ROBERTO ISRAEL DE LA ROSA CRUZ'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
