Learning Objectives

Random Picks

• Feature Selection: Feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. It is an important step in the machine learning pipeline as it helps to improve model performance, reduce ove ... Read More >>
• Imputations: In data science, imputation is the process of replacing missing data with substituted values. This is done to improve the accuracy and completeness of the data set. Imputation can be done using various techniques such as mean imputation, mo ... Read More >>
• Anomaly-based IDS: Anomaly-based Intrusion Detection System (IDS) is a type of security system that uses machine learning algorithms to detect abnormal behavior in network traffic, system calls, or user activity. Anomaly-based IDS works by creating a baseline ... Read More >>