- Unsupervised Learning
- Linear Algebra
- Python Programming
- Data Visualization
- Data Analysis
- Exploratory Data Analysis
- NumPy
- Applied Machine Learning
- Seaborn
- Cloud Computing
- Dimensionality Reduction
- Data Science
Principal Component Analysis with NumPy
Completed by Shakul Pathak
June 12, 2020
1 hours (approximately)
Shakul Pathak'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
