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: Dimensionality Reduction
- Category: Data Science
- Category: Cloud Computing
- Category: Statistical Visualization
- Category: Scikit Learn (Machine Learning Library)
- Category: Exploratory Data Analysis
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Matplotlib
- Category: NumPy
- Category: Seaborn
- Category: Data Analysis
