- Pandas (Python Package)
- Python Programming
- Machine Learning Algorithms
- NumPy
- Machine Learning
- Data Manipulation
- Probability & Statistics
- Data Visualization
- Descriptive Statistics
- Data Analysis
- Statistics
- Matplotlib
Foundations of Data Science: K-Means Clustering in Python
Completed by JITENDRA SINGH YADAV
August 29, 2019
29 hours (approximately)
JITENDRA SINGH YADAV'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
