Logistic Regression Machine Learning in Python | Full Tutorial -2021 (Theory and Coding)
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#LogisticRegression #MachineLearning #Python
Logistic Regression is a classification algorithm. It is used to predict a binary outcome (1 / 0, Yes / No, True / False) given a set of independent variables.
You can also think of logistic regression as a special case of linear regression when the outcome variable is categorical, where we are using log of odds as dependent variable.
00:50 Introduction to the Theory of Logistic Regression
02:15 Importing Libraries and reading data
05:15 Exploratory Data Analysis
10:30 Missing Values
15:55 Converting Categorical features to Numeric
19:25 Splitting data to train and test splits
21:35 Training the Model
22:20 Predicting
24:00 Model Evaluation
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