Logistic Regression using R

priyaexcelr — Fri, 18 Sep 2020 10:27:11 +0000

Logistic Regression is one among the machine learning algorithms used for solving classification problems. it’s wont to estimate probability whether an instance belongs to a category or not. If the estimated probability is bigger than threshold, then the model predicts that the instance belongs thereto class, alternatively it predicts that it doesn’t belong to the category as shown in fig 1. This makes it a binary classifier. Logistic regression is employed where the worth of the variable is 0/1, true/false or yes/no.
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Why Logistic Regression, Not rectilinear regression Linear Regression models the connection between variable and independent variables by fitting a line as shown in Fig 4. Image for post In rectilinear regression , the worth of predicted Y exceeds from 0 and 1 range. As discussed earlier, Logistic Regression gives us the probability and therefore the value of probability always lies between 0 and 1. Therefore, Logistic Regression uses sigmoid function or logistic function to convert the output between [0,1]. The logistic function is defined as: 1 / (1 + e^-value) Where e is that the base of the natural logarithms and value is that the actual numerical value that you simply want to rework . The output of this function is usually 0 to 1. The equation of rectilinear regression is Y=B0+B1X1+…+BpXp Logistic function is applied to convert the output to 0 to 1 range P(Y=1)=1/(1+exp(?(B0+B1X1+…+BpXp))) We need to reformulate the equation in order that the linear term is on the proper side of the formula. log(P(Y=1)/1?P(Y=1))= B0+B1X1+…+BpXp where log(P(Y=1)/1?P(Y=1)) is named odds ratio. Resources Box:- This article is inspired by Logistic Regression explained (https://www.excelr.com/blog/data-science/regression/understanding-logistic-regression-using-r)of Excelr Solutions.

How data science courses can help you become a data scientist?

priyaexcelr — Fri, 24 Apr 2020 05:53:20 +0000

Introduction
You might have heard about a data scientist from one of your friends and after doing a little research on the same, you might want to become one too. But only making up your mind will not help you become a data scientist, right? This article tries to help you discover the world of data science and how taking courses in Data Science will help you achieve your dream better and quicker.
Who is a Data Scientist?
If you are remotely interested in this area, you might know roughly what Data Science is all about and what exactly, does a Data Scientist do.
Basically a Data Scientist extracts useful information from a huge volume of data in order to draw informative conclusions and help the connected organization achieve its set goals and prospects within the stipulated time period. In other words, they help the organization gain more profits and more customers and use their information to come up with better products that are in accordance with the interests of these customers.
Joining a Data Science Course is a Smart Choice
Here are some of the reasons which justify the enrollment in a Data Science Course to help you achieve your dream of becoming a Data Scientist:
Unbelievable growth in Career: If you enroll in a data science course, you are certified on the completion of the course. This not only helps you validate your knowledge, but also helps you get high paying jobs.
Freedom to choose from a set of flexible classes: There are both online and offline courses available for Data Science. You can choose either according to your profession and availability. Working professionals usually choose an online course while the candidates just kick-starting their careers opt for offline courses. The timings of the class are also flexible and the staff cooperates to suit your preferences, every single time.
Structured Syllabus so that you are never left behind: The syllabus of such courses is updated constantly, so that the candidates have the option to learn or at least get introduced to every new technology available in the market.
Practical Implementation: With the help of these courses, one can constantly implement the theory that they are learning in the class to real-life scenarios. The tradition of these courses is to offer a situation to the students where every theory and every principle can be applied.
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Resource Box
We hope that this article was able to inform you well about the different data science courses and also tell you how these courses can help you achieve the dream career of that of a data scientist. We hope you share this article with someone who also aspires to be a data scientist.

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Logistic Regression using R

How data science courses can help you become a data scientist?