- Data Science
- Jupyter
- Unsupervised Learning
- NumPy
- Applied Machine Learning
- Seaborn
- Python Programming
- Data Visualization
- Matplotlib
- Data Analysis
- Dimensionality Reduction
- Cloud Computing
Principal Component Analysis with NumPy
Completed by Nandini Saxena
September 7, 2020
1 hours (approximately)
Nandini Saxena'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
