Principal Component Analysis with NumPy
Completed by Nandini Saxena
September 7, 2020
1 hours (approximately)
Nandini Saxena'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: Exploratory Data Analysis
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Numerical Analysis
- Category: Matplotlib
- Category: Scikit Learn (Machine Learning Library)
- Category: Cloud Computing
- Category: Statistical Visualization
- Category: Dimensionality Reduction
- Category: Data Science
- Category: Seaborn
- Category: Unsupervised Learning
