A guest lecture on Machine Learning was conducted by Dr. V. Munishekar, offering students a comprehensive understanding of its fundamental objectives and real-world applications. The session explored various machine learning algorithms, including Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines (SVM), Naïve Bayes, K-Nearest Neighbors (KNN), K-Means, and Random Forest. Students gained valuable insights into the working principles of these techniques and their role in solving real-time problems across different industries. The lecture provided a strong foundation in machine learning, enabling students to understand its significance in data-driven decision- making and technological advancements.
A Guest Lecture on “Machine Learning”
