Skip to main content

Understanding Logistic Regression using R

 

1. What is Logistic Regression?

Logistic Regression is one of the machine learning algorithms used for solving classification problems. It is used to estimate probability whether an instance belongs to a class or not. If the estimated probability is greater than threshold, then the model predicts that the instance belongs to that class, or else it predicts that it does not belong to the class as shown in fig 1. This makes it a binary classifier. Logistic regression is used where the value of the dependent variable is 0/1, true/false or yes/no.


Example 1

Suppose we are interested to know whether a candidate will pass the entrance exam. The result of the candidate depends upon his attendance in the class, teacher-student ratio, knowledge of the teacher and interest of the student in the subject are all independent variables and result is dependent variable. The value of the result will be yes or no. So, it is a binary classification problem.


Practical Implementation of Logistic Regression

Problem Statement: - In this problem, we want to predict if a person is suffering from heart disease or not.

Data Description:- To solve this problem, I have downloaded a heart disease dataset from Kaggle (https://www.kaggle.com/ronitf/heart-disease-uci) to predict if a person is having heart disease or not.



Comments

  1. Simple Linear Regression in Machine Learning (SLR) is a tactic that can help to review and evaluate relationships between two factors.
    I would like to thank you for the efforts you have made in writing this article.
    If you are looking for advancement in your career, want to learn the data science process and its techniques,
    Visit Learnbay. co website to know details related to data science courses in Bangalore and the best data science course.
    Get placement along with certification by enrolling in data science course bangalore.

    ReplyDelete

Post a Comment

Popular posts from this blog

Data science: A Blend of These Data Components

Data Science Course ExcelR offers Data Science course, the most comprehensive Data Science course in the market, covering the complete Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization and deploying the solution to the customer. Skills and tools ranging from  Statistical Analysis , Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics,  Machine Learning ,   Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, XLMiner,  Tableau , Spark, Hadoop, Minitab, programming languages like R programming ,  Python are covered extensively as part of this Data Science training. ExcelR is considered as the best Data Science training institute which offers services from training to placement as part of the Data Science training program wi...

785 Enterprise Analytics Jobs In Mumbai, Maharashtra, India (38 New)

Choosing the proper and greatest digital advertising courses in Delhi & NCR is an ideal determination to make for better career and to work in smart method on larger salaries or ensure a better supply of earnings. Boston Institute of Analytics is an international organization that imparts coaching in predictive analytics, machine learning and synthetic intelligence to school college students and dealing professionals by means of classroom coaching carried out by business experts. In this teacher-led, stay training (onsite or distant), contributors will learn how to use SSAS to analyze giant volumes of data in databases and knowledge warehouses. BBA business analytics & knowledge science is India's first specialised Undergraduate program specializing in the data science and enterprise analytics business. Dr Abhijit Dasgupta, Director - Large Information & Visual Analytics, was a source of fixed assist and motivation together with every different faculty member we stu...

Machine Learning Crash Course

Information science requires mastering in various fields like machine learning, R programming, Python, deep studying and plenty of extra. Machine Learning Engineer is categorized as one of the refined profiles due to the work profile in addition to the wage packages that the candidates draw from the companies. Many reinforcement studying algorithms use dynamic programming methods. This implies, through the use of a selected kind of algorithm, machines are given the facility of understanding the command and studying from there with out giving any further instructions or without programming again and again. It has been an important studying expertise for me. Online classroom training for Machine Learning Certification is carried out through online reside streaming of each class. The classification of information and labeling the information are trained in case of the supervised learning. The programme is designed for technology professionals who wish to advance their career as a spe...