Logistic regression

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Logistic Regression (Python) Explained using Practical Example Data Science Statistics, Coding Challenges, What Is Data Science, Statistics Math, Data Science Learning, Regression Analysis, Logistic Regression, Data Driven Marketing, Gas Company

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.

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What is Logistic Regression? Science Life Cycles, Statistics Math, Economics Notes, Holographic Projection, Discrete Mathematics, Economics Lessons, Data Science Learning, Logistic Regression, Linear Regression

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 classification problem. In this post I will be explaining about binary classification. I will also explain about the reason behind maximizing log likelihood function.

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