Training Set

Random Picks

• Null Hypothesis: In data science, the null hypothesis is a statement that assumes there is no significant difference between two or more sets of data. It is often used in hypothesis testing to determine whether a certain observed phenomenon is due to chance ... Read More >>
• Model Deployment: Model deployment is the process of making a trained machine learning model available for use in a production environment. It involves taking the model from a development environment and integrating it into a larger application or system. Th ... Read More >>
• Secondary Data Sources: Secondary data sources refer to the collection of data from sources that have already been collected and analyzed by someone else. In data science, secondary data sources are used to supplement primary data sources, which are collected dire ... Read More >>