🔄Logistic regression is a commonly used technique for binary classification problems

🔍The goal of logistic regression is to predict a discrete category based on input features

💻In logistic regression, the target is modeled as a linear combination of input features

📈The model is trained using an optimization method to minimize the error between predicted and actual outputs

🧪Logistic regression can be applied to various binary classification problems, such as predicting rain tomorrow based on today's weather data