- Jupyter
- Seaborn
- Dimensionality Reduction
- Python Programming
- Data Visualization
- Data Preprocessing
- Exploratory Data Analysis
- NumPy
- Data Analysis
- Machine Learning Methods
- Data Science
- Statistical Visualization
Principal Component Analysis with NumPy
Completed by Jonathan Steven Marin Pavia
June 25, 2020
1 hours (approximately)
Jonathan Steven Marin Pavia's account is verified. Coursera certifies their successful completion of Principal Component Analysis with NumPy
What you will learn
Implement Principal Component Analysis (PCA) from scratch with NumPy and Python
Conduct basic exploratory data analysis (EDA)
Create simple data visualizations with Seaborn and Matplotlib
Skills you will gain
