Confusion Matrix
Confusion Matrix: A confusion matrix is a table that is used to summarize the performance of a classification algorithm. The table shows how many times each class was predicted by the algorithm and …
Cross Validation
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 …
Confidence Interval
Confidence Interval: A range of values that is calculated based on sample statistics and is used to measure how accurate a prediction made by a model is likely to be.
Clustering
Clustering: Clustering is a technique used in data science to group similar items together. This can be useful for organizing data and understanding relationships between different groups of data.
Classification
Classification: The task of classification is to take a set of observations and assign one of a pre-determined number of classes to each observation. Classification is a technique used in data science to …
Census
Census: a survey of all the people in a particular area or population, used to collect information about them.
Categorical
A categorical variable is a type of data that is represented by a list of values. These values can be either numbers or text, and they are usually organized into categories.
Categorical Variable
A categorical variable is a data type that represents qualitative information. For example, colors (red, blue, green), genders (male, female), and religions (Catholic, Protestant, Muslim) are all categorical…
Business Intelligence (BI)
Business Intelligence (BI) is the process of gathering, organizing, and analyzing data to help business leaders make better decisions. BI can include everything from analyzing sales data to tracking customer…
Boxplot
A boxplot is a graphical representation of the five-number summary of a dataset. The five-number summary includes the minimum, first quartile, median, third quartile, and maximum of a dataset…