Logistic Regression Machine Learning in Python | Full Tutorial -2022 (Theory and Coding) скачать в хорошем качестве

Logistic Regression Machine Learning in Python | Full Tutorial -2022 (Theory and Coding)

Logistic Regression Machine Learning in Python | Full Tutorial -2021 (Theory and Coding) -------------------------------------------------------------------------------------------------------------------------------------------------- #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 Related content: Linear Regression:    • Linear Regression Machine Learning Algorit...   Converting Categorical Features to Numeric:    • Pandas Get Dummies | pd.get_dummies() For ...