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.
✅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