Principal Component Analysis with NumPy
Completed by Matias Jose Agelvis Dominguez
June 4, 2020
1 hours (approximately)
Matias Jose Agelvis Dominguez'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: Matplotlib
- Category: Plot (Graphics)
- Category: Machine Learning Methods
- Category: Numerical Analysis
- Category: Statistical Visualization
- Category: Data Analysis
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
- Category: Scikit Learn (Machine Learning Library)
- Category: Cloud Computing
