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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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FOUNDATION OF DATA SCIENCE

INTRODUCTION:   

 Data are descriptions of the world around us, collected through observation and stored on computer. Computers enable us to conclude properties of the world from these descriptions. Data Science is the discipline of drawing conclusions from data using computation. There are three innermost effective data analysis: exploration, prediction and inference.

The discipline of statistics has long addressed the same fundamental challenge as data science: how to draw robust conclusions about the world using incomplete information. One of the most important contributions of statistics is a consistent and precise vocabulary for describing the relationship between observations and conclusions. This text continues in the same tradition, focusing on a set of core inferential problems from statistics: testing hypotheses, estimating confidence, and predicting unknown quantities. 


       


Data science extends the field of statistics by taking full advantage of computing,  data visualization, machine learning, optimization, and access to information. The combination of fast computers and the Internet gives anyone the ability to access   and analyze vast datasets: millions of news articles, full encyclopedias, databases
  for any domain, and massive repositories of music, photos, and video.



 




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