- To understand fundamental machine learning concepts and their practical applications.
- To explore deep learning techniques and neural network architectures.
- To analyse data using data science tools and methodologies.
- To implement machine learning models for real-world scenarios.
- To evaluate the performance of deep learning algorithms effectively.
- To apply data science principles in case study applications.
- To integrate machine learning, deep learning, and data science solutions.
