Principal Component Analysis with NumPy
Completed by ARIJIT GOSWAMI
September 3, 2020
1 hours (approximately)
ARIJIT GOSWAMI'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: Scikit Learn (Machine Learning Library)
- Category: Data Manipulation
- Category: Unsupervised Learning
- Category: Data Science
- Category: Dimensionality Reduction
- Category: Matplotlib
- Category: Seaborn
- Category: Machine Learning Methods
- Category: Data Analysis
- Category: Plot (Graphics)
- Category: Statistical Visualization
- Category: Jupyter
