- Seaborn
- Python Programming
- Data Visualization
- Dimensionality Reduction
- Matplotlib
- Linear Algebra
- Data Science
- Jupyter
- Exploratory Data Analysis
- NumPy
- Applied Machine Learning
- Unsupervised Learning
Principal Component Analysis with NumPy
Completed by Matthias Hellwig
February 15, 2021
1 hours (approximately)
Matthias Hellwig'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
