Principal Component Analysis with NumPy
Completed by jordi visser
July 10, 2024
1 hours (approximately)
jordi visser'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: Cloud Computing
- Category: Statistical Visualization
- Category: Dimensionality Reduction
- Category: Data Science
- Category: Data Visualization
- Category: Matplotlib
- Category: Scikit Learn (Machine Learning Library)
- Category: Exploratory Data Analysis
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Unsupervised Learning
- Category: Data Analysis
