Course Outcmoes
1. Demonstrate the ability to use Jupyter IDE and perform data analysis and manipulation using Python libraries such as NumPy and Pandas
2. Implement and evaluate supervised learning algorithms
3. Analyze and interpret high-dimensional data using dimensionality reduction techniques
4. Apply and compare unsupervised clustering algorithms including K-Means, K-Medoids to identify patterns
1. Demonstrate the ability to use Jupyter IDE and perform data analysis and manipulation using Python libraries such as NumPy and Pandas
2. Implement and evaluate supervised learning algorithms
3. Analyze and interpret high-dimensional data using dimensionality reduction techniques
4. Apply and compare unsupervised clustering algorithms including K-Means, K-Medoids to identify patterns
- Teacher: Vipin Kumar Sharma