- Dimensionality Reduction
- Matplotlib
- Data Analysis
- Data Visualization
- Python Programming
- Exploratory Data Analysis
- NumPy
- Cloud Computing
- Seaborn
- Applied Machine Learning
- Jupyter
- Unsupervised Learning
Principal Component Analysis with NumPy
Completed by Enrica Maria Malannata
May 27, 2020
1 hours (approximately)
Enrica Maria Malannata'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
