# Tag: Logistic regression

### Logistic Regression for Machine Learning

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Logistic Regression is one of the most used Machine learning algorithms among industries and academia. It is a supervised learning algorithm used for classification where the target variable should be categorical. Why not Linear Regression for classification There are mainly two reasons for not fitting a linear regression on classification tasks: When we fit a…

Read More### Difference between Logistic Regression and Support Vector Machine?

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Logistic Regression It is a statistical technique used to model the relationship between one response variable and one or more explanatory variables. It can be used to predict the probability of an event occurring by fitting data into logistic functions. Support Vector Machine It is a supervised machine learning algorithm used for classification and regression…

Read More### Difference between Linear Regression and Logistic Regression?

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Linear regression is a statistical technique that is used to find a relationship between two variables. It is used for predicting continuous values, such as the price of stocks or the number of cars sold in a given month. It is often used in the social sciences to analyze data. Linear regression, also called “ordinary…

Read More### What are the most important supervised and unsupervised algorithms?

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Supervised Learning algorithms: K-nearest neighbors Linear regression Naïve Bayes Support vector machines Logistic regression Decision trees and random forests K-nearest neighbors: K-nearest neighbors is a Machine learning technique which comes under supervised learning. This technique can be used for classification or regression problems. In supervised learning, we need to specify a target value for the…

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