Principal Component Analysis with NumPy
Completed by Prantik Panja
February 1, 2024
1 hours (approximately)
Prantik Panja'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
- Category: Seaborn
- Category: Jupyter
- Category: Data Analysis
- Category: Data Manipulation
- Category: Numerical Analysis
- Category: NumPy
- Category: Python Programming
- Category: Statistical Visualization
- Category: Matplotlib
- Category: Unsupervised Learning
- Category: Machine Learning Methods
- Category: Data Visualization
