Temporary table: A temporary table is a table that exists for the duration of a session. Temporary tables are useful for storing intermediate results, or for querying data that is too large to fit in memory.
Definition of Independent Variable An independent variable is a variable that is manipulated by the experimenter in a scientific study. It is typically one factor that is changed while all other factors are kept constant. What is an Independent Variable used for? An independent variable is a type of variable used in statistical models and…
Definition of Inference Inference: Inference is the process of using known information to draw conclusions about something that is unknown. In data science, inference is often used to draw conclusions from data that has been collected. This can be used to identify trends or patterns in data, or to make predictions about future events. What…
Definition of Pivot Table A pivot table is a data analysis tool that allows you to reorganize and analyze your data in a new way. With pivot tables, you can group and summarize data by column, or calculate new values based on existing data.
Definition of Data Preparation Data preparation: Data preparation is the process of getting data ready for analysis. This often includes cleaning up the data, removing outliers, and transforming it into a form that is suitable for the analysis that will be performed. Why is a Data Preparation process used? What is it good for? Data…
Definition of Ensembling Ensembling: Ensembling is a technique used in machine learning that consists of combining the predictions of multiple models in order to improve the accuracy of the predictions. What is Ensembling used for? Ensembling is a technique in data science and machine learning in which multiple prediction models are combined to produce a…
Definition of Ensemble Learning Ensemble Learning: Ensemble Learning is a technique that combines the predictions or classifications of multiple machine learning models in order to improve the accuracy of the predictions. What is Ensemble Learning used for? Ensemble Learning is a machine learning technique used to combine multiple models or algorithms together to produce better…