Quintiles
Definition of Quintiles
Quintiles: A quintile is a statistical division of a data set into five parts, each containing one-fifth of the data.
Quintiles: A quintile is a statistical division of a data set into five parts, each containing one-fifth of the data.
Definition of Error Error: An error is an incorrect result produced by a calculation. In data science, an error is an inconsistency or inaccuracy in data. Errors can be the result of incorrect measurements, incorrect entry of data, or simply a mistake. In order to ensure the accuracy of data, it is important to identify…
Definition of False Negative False Negative: False negative is a result of a test where a condition that is true is incorrectly reported as being false. What are the impacts of False Negatives? False Negatives can have a significant impact and be costly to data science and machine learning projects. False Negatives refer to instances…
Definition of Linear Algebra Linear Algebra: Linear Algebra is the study of mathematical problems that can be best explained in terms of linear equations. It is a powerful tool for solving problems in physics and engineering, and has many applications in data science. How is Linear Algebra used? Linear Algebra is widely used in the…
Definition of Data Analysis Data Analysis: Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of extracting useful information from it. What is a Data Analysis used for? Data analysis is an important process used to gain insights and understanding from data sets. It can be used to uncover…
Definition of Enrichment Enrichment: In data science, enrichment is the process of expanding or enhancing a dataset with additional information. This can be done in order to improve the accuracy of predictions or to gain a deeper understanding of the data. Enrichment can be performed manually, by adding new data points to the dataset, or…
Definition of Inductive Reasoning Inductive Reasoning: Inductive reasoning is a type of inference that starts with specific observations and then draws general conclusions from them. What are some examples of when an Inductive Reasoning may be used? Inductive reasoning is an important tool used in data science and machine learning. It involves drawing conclusions from…