Introduction- In machine learning, the input data or the learning dataset is in a form of numerical data. But there can be many cases where these input datasets are categorial instead of numerical. Feature encoding is a popular method used to convert the categorial data into numerical format. Encoding categorical data allows the machine …
Introduction- In statistics and machine learning, the p-value (also known as- probability value) is a measure that helps determine the significance of a hypothesis test result. It indicates the probability of obtaining an observed result when the null hypothesis is true How it Works-Â Null Hypothesis (H0): It dictates about the assumption that there is …
Introduction- Stacking is one of the very popular technique used in the Machine Learning. There are various learning models involved in the Machine Learning, like- Support Vector Machines (SVMs), Decision Trees, Artificial Neural Networks (ANNs), etc. At the first place we use these models individually wherever these are suitable and we train these models and then …