Principal Component Analysis with NumPy
Completed by Sumati Kulkarni
January 30, 2024
1 hours (approximately)
Sumati Kulkarni'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: Machine Learning Methods
- Category: Unsupervised Learning
- Category: Matplotlib
- Category: Scikit Learn (Machine Learning Library)
- Category: Exploratory Data Analysis
- Category: Data Manipulation
- Category: Data Analysis
- Category: Jupyter
- Category: Seaborn
- Category: Dimensionality Reduction
- Category: Data Science
- Category: Cloud Computing
