- Statistical Visualization
- Dimensionality Reduction
- Matplotlib
- Data Science
- Seaborn
- Data Preprocessing
- Data Analysis
- Data Visualization
- NumPy
- Jupyter
- Exploratory Data Analysis
- Machine Learning Methods
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
