- Data Science
- Python Programming
- Machine Learning Methods
- Jupyter
- Dimensionality Reduction
- Data Visualization
- Exploratory Data Analysis
- Data Analysis
- NumPy
- Data Preprocessing
- Statistical Visualization
- Seaborn
Principal Component Analysis with NumPy
Completed by Jinglin Zhao
December 10, 2020
1 hours (approximately)
Jinglin Zhao'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
