Logistic Regression : Logistic regression is a type of statistical analysis used to predict the outcome of a binary event, such as whether a student will pass or fail a test, or whether a customer will churn or not. It is a powerful tool that is commonly used in fields such as healthcare, finance, and […]

Log Loss : Log loss, also known as cross entropy loss, is a performance metric used in classification tasks. It measures the difference between the predicted probability and the actual outcome. For example, in a binary classification task where the classes are “positive” and “negative”, the predicted probabilities are calculated for each class. If the […]

Logarithmic transformation : A logarithmic transformation is a way of changing the scale of an axis on a graph. This can be useful when the data being plotted covers a very wide range of values, making it difficult to see patterns or trends. By using a logarithmic scale, the data can be spread out more […]

Locally weighted regression : Locally weighted regression (LWR) is a machine learning technique that allows for non-linear regression models to be fit to data. It does this by weighting the data points in a given region differently, allowing for more flexibility in the model. One example of LWR in action is in predicting housing prices. […]

Local dependence function : Local dependence functions are used in machine learning to determine the relationship between input variables and their corresponding outputs. These functions are often used to model complex data sets and make predictions about future outcomes. One example of a local dependence function is the k-nearest neighbors algorithm. This algorithm is used […]

Linked Micromap Plot : A linked micromap plot is a visualization tool that is used to display multiple related datasets in a single visual representation. This type of plot is particularly useful for displaying complex relationships between different data sets, and is often used in the field of data analysis to help analysts and researchers […]

Linkage analysis : Linkage analysis is a method used in genetics to identify the chromosomal location of a gene or group of genes associated with a particular trait or disease. This is done by examining the inheritance patterns of a trait or disease in a family or population and comparing it to known genetic markers […]

Line-intersect sampling : Line-intersect sampling is a sampling method used in ecology and environmental science to assess the abundance and distribution of vegetation, wildlife, and other organisms within a particular area. This method involves establishing a series of straight lines, or transects, across the study area and recording the number of times the lines intersect […]

Linear transformation : Linear transformations are mathematical operations that preserve the linearity of a function. In other words, they maintain the relationship between the input and output of a function, such that the output of a linear transformation can be represented as a linear combination of the inputs. There are two common examples of linear […]

Linear Regression : Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. In other words, it is used to predict the value of a dependent variable based on the values of one or more independent variables. For example, let’s say we want to […]