- Matplotlib
- NumPy
- Data Science
- Seaborn
- Data Visualization
- Statistical Visualization
- Machine Learning Methods
- Exploratory Data Analysis
- Python Programming
- Data Preprocessing
- Data Analysis
- Dimensionality Reduction
Principal Component Analysis with NumPy
Completed by Prakhar Srivastava
November 1, 2020
1 hours (approximately)
Prakhar Srivastava'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
