- NumPy
- Applied Machine Learning
- Python Programming
- Dimensionality Reduction
- Seaborn
- Data Visualization
- Data Science
- Unsupervised Learning
- Exploratory Data Analysis
- Data Analysis
- Jupyter
- Matplotlib
Principal Component Analysis with NumPy
Completed by Mihir Anand
November 7, 2020
1 hours (approximately)
Mihir Anand'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
