MACHINE LEARNING (2 Credits)

Learning Outcomes :

On successful completion of this course, student will be able to: Explain the fundamental of machine learning concept; Interpret the distribution of dataset using regression method; Experiment classification and clustering algorithm from given dataset

Topics :

Introduction to Machine Learning; Exploratory Data Analysis and Preprocessing Data; Linear Regression; Logistic Regression; Model Selection and Regularization; Naive Bayes; Review-1; Recommender System; Decision Tree and Ensemble Learning; Support Vector Machine; Clustering; Dimensionality Reduction; Review-2