# Logistic regression

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### Logistic Regression (Python) Explained using Practical Example. Logistic Regression is a predictive analysis which is used to explain the data and relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.

Lucandro Romero saved to Estadistica

### Logistic regression is used for binary classification problem which has only two classes to predict. However with little extension and some human brain, it can easily be used for multi class classi…

Ashutosh Tripathi saved to Machine Learning

### The goal of this kernel is to implement logistic regression from scratch for sentiment analysis using the twitter dataset. We will be mainly focusing on building blocks of logistic regression on our…

### Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous or binary.

gcarterit saved to Data Science

### ✅Regression analysis is a predictive modelling methodology that assesses the relationship between dependent (i.e. the goal variable) and independent factors. Forecasting, time series modelling, and determining the relationship between variables and predicting continuous values can all be done with regression analysis. For queries Dm us 📩 #datascience #data #dataanalytics #regression #logisticsmanagement #linearregression #logisticregression #learnbay #datavisualization

Usman Saadat saved to Machine Learning & DL

### Driving Digital Transformations globally. We excel in product engineering, modernization, support, maintenance, IT infrastructure management, and software development. Discover our expertise.

Codeurmane saved to AI

### Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool. In this StatQuest, I go over the main ideas ...

gerard versluis saved to Sixsigma