- Data Analysis
- Numpy
- Unsupervised Learning
- Dimensionality Reduction
- Exploratory Data Analysis
- Jupyter
- Seaborn
- Data Science
- Matplotlib
- Applied Machine Learning
- Data Visualization
- Cloud Computing
Principal Component Analysis with NumPy
Completed by Julian Kaljuvee
December 31, 2020
1 hours (approximately)
Julian Kaljuvee'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
