Mastering Logistic Regression: Training Model Part 3

In this video series, we will walk through the process of training a logistic regression model for churn prediction in a telephone company. We will start by cleaning and merging three datasets containing information on customer demographics, call details, and account information. Then, we will explore the data and perform feature engineering to prepare it for modeling. Finally, we will train and evaluate a logistic regression model using scikit-learn, and discuss how to interpret the model coefficients.

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#machinelearning #logisticregression #churnprediction #datacleaning #featureengineering #scikitlearn