- Data Preprocessing
- Exploratory Data Analysis
- Matplotlib
- Machine Learning Methods
- NumPy
- Dimensionality Reduction
- Data Visualization
- Python Programming
- Data Analysis
- Seaborn
- Statistical Visualization
- Jupyter
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
