- Exploratory Data Analysis
- Jupyter
- Machine Learning Methods
- Data Analysis
- NumPy
- Matplotlib
- Data Science
- Dimensionality Reduction
- Statistical Visualization
- Python Programming
- Data Preprocessing
- Data Visualization
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
