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LOGISTIC REGRESSION

 INTRODUCTION: It is a statistic method that is used for building machine learning models where the dependent variable is binary. It is used to describe data and the relationship between one dependent variable and one or more independent variables. The name "logistic regression" is derived from the concept of the logistic function that is uses. The logistic function is also known as the sigmoid function. The value of this logistic function lies between zero(0) and one(1). It is Supervised Classification Algorithm. The value of the logistic regression must be between 0 and 1, which cannot go beyond this limit, so it forms a curve like the "S" form. The S-form curve is called the Sigmoid function or the logistic function.   LOGISTIC REGRESSION EQUATION: The Logistic regression equation can be obtained from the Linear Regression equation. The mathematical steps to get Logistic Regression equations are given below: The equation of the straight line can be written as:   ...
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DATA STRUCTURE

                                                   


                  
INTRODUCTION: 

                                Data are values or sets of values. A data item refers to a single unit of values. Data items that are divided into subitems are called group items. Collections of data are frequently organized into a hierarchy of fields, records and files. A field is a single elementary unit of information representing an attribute of an entity, a record is the collection of field values of a given entity and a file is the collection of records of the entities in a given entity set. A data structure is a special way of organizing, managing and storing data in a computer so that it can be used efficiently. Array, LinkedList, Stack, Queue, Tree, Graph etc. are all data structures that stores the data in a special way so that we can access and modify efficiently. 







Data are also organized into more complex types of structures. The study of such data structures, which forms the subject matter of this text, includes the following three steps:

  • Logical or mathematical description of the structure.
  • Implementation of the structure on a computer. 
  • Quantitative analysis of the structure, which includes determining the amount of memory needed to store the structure and the time required to process the structure.









            


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