Principal Component Analysis with NumPy
Completed by PIERRE GABIN FODOP GUMETE
June 9, 2020
1 hours (approximately)
PIERRE GABIN FODOP GUMETE'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
- Category: Matplotlib
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Exploratory Data Analysis
- Category: Numerical Analysis
- Category: NumPy
- Category: Plot (Graphics)
- Category: Cloud Computing
- Category: Statistical Visualization
- Category: Dimensionality Reduction
- Category: Data Science
- Category: Seaborn
