Z-score
Definition of Z-score
Z-score: A z-score is a statistic that measures how far a particular observation is from the mean, in standard deviations.
Z-score: A z-score is a statistic that measures how far a particular observation is from the mean, in standard deviations.
Definition of Entropy Entropy: Entropy is a measure of the unpredictability of a system. In information theory, entropy ( ) is a measure of the uncertainty associated with a random variable. Entropy is defined as the average amount of information that is not known about the value of a random variable. When is Entropy used?…
Definition of Outlier Outlier: An outlier is a data point that is significantly different from the other points in the dataset. Outliers can be caused by errors in data collection or by natural variations in the data. They can be removed from a dataset before analysis, or they can be studied to learn more about…
Cross Validation: Cross validation is a technique used in data science to improve the accuracy of predictions. It works by splitting the data into two sets, a training set and a testing set. The training set is …
Definition of Weighted Average Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Definition of Data Visualization Data Visualization: Data Visualization is the process of transforming data into a graphical representation that is easier to understand. This can be done in order to identify patterns, trends, and correlations that would otherwise be hidden in a table of data. What are Data Visualizations used for? Data visualizations are used…
Definition of Data Collection Data Collection: Data collection is the process of gathering data, often from different sources, for analysis. This can be done through surveys, interviews, focus groups, or other methods. What is a Data Collection used for? A Data Collection is a collection of data that is used for the purpose of analysis…