Logistic Regression: Predict Survival with Titanic Data

Uncover the power of logistic regression, a fundamental machine learning algorithm for classification tasks. This course will guide you from core concepts to building and evaluating your first predictive model, enabling you to make data-driven predictions. What you'll learn: * Understand the mathematical and conceptual foundations of logistic regression. * Prepare and clean real-world datasets for machine learning using Python. * Apply logistic regression to build a classification model for binary prediction. * Evaluate model performance using key metrics like accuracy, precision, recall, and ROC AUC. * Interpret model coefficients to understand feature impact on predictions. * Practice basic feature engineering and selection techniques. * Configure a complete machine learning pipeline from data loading to model evaluation. The course progresses logically, starting with theoretical concepts, moving into practical data preparation, model building, and comprehensive evaluation techniques. This course is designed for absolute beginners in machine learning and data science, with no prior experience in logistic regression required. Start your journey into predictive modeling today and build a solid foundation in classification.