The session delved into advanced techniques for identifying anomalies in complex datasets, emphasizing their role in improving the robustness and reliability of machine learning models. The session explores feature selection strategies to streamline datasets, reduce dimensionality, and improve computational efficiency while maintaining critical predictive insights. The students gained valuable insights into practical implementations, including algorithmic advancements and real-world applications of anomaly detection in fields such as fraud detection, network security, and predictive maintenance.
21st Century Engineering College in Coimbatore
World is transforming everyday. In the rapidly evolving engineering landscape, we have an Increased responsibility to transform the engineering education from traditional curriculum to meet the 21st century skills like Creativity, Critical Thinking, Collaboration and Communication. Through our unique and strategic approach we enable our students to learn beyond and prepare them for life long success.
