- Pandas (Python Package)
- NumPy
- Statistics
- Data Visualization
- Matplotlib
- Descriptive Statistics
- Data Science
- Machine Learning
- Data Manipulation
- Data Analysis
- Python Programming
- Machine Learning Algorithms
Foundations of Data Science: K-Means Clustering in Python
Completed by PAUL ESHIOZEMOGIE BOLADE
September 19, 2022
29 hours (approximately)
PAUL ESHIOZEMOGIE BOLADE'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
