Principal Component Analysis with NumPy
Completed by Karel Aldrin Sanchez Hernandez
December 21, 2020
1 hours (approximately)
Karel Aldrin Sanchez Hernandez'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: Data Analysis
- Category: Jupyter
- Category: Machine Learning Methods
- Category: Unsupervised Learning
- Category: Python Programming
- Category: Matplotlib
- Category: Scikit Learn (Machine Learning Library)
- Category: Exploratory Data Analysis
- Category: Statistical Visualization
- Category: Dimensionality Reduction
- Category: Data Science
