The dataset contains various categorical and numerical features with 11162 data sample. The data is labelled. So supervised machine learning algorithms are applicable to this project. The objective is ...

Real world dataset consists of normal instances with lesser percentage of interesting or abnormal instances. The cost of misclassifying an abnormal instance as normal instance is very high. The ...

Unlike the MINIST data set, the DIGIT data set is however too small to be representative of real world machine learning image classification tasks. After demonstrating the basics of logisitic ...

Classification is a complicated process that looks incredibly simple on the surface. Find out why classification matters in machine learning.

Internet traffic classification is an area of current research interest. The failure of port and payload based classification motivates researchers to head towards a machine learning (ML) approach.