Titanic Survival Prediction Using Machine Learning

In this 1-hour long project-based course, you will delve into the tragedy of the Titanic and use machine learning to predict survivors. This practical guided project focuses on analyzing the factors that influenced survival during this historical event.

• Understand the theory and intuition behind logistic regression classifier models
• Build, train and test a logistic regression classifier model in Scikit-Learn
• Perform data cleaning, feature engineering and visualization

Join this course to gain insights into the tragedy of the Titanic and learn how machine learning can be applied to historical data for predictive analysis. Note: This course is best suited for learners in the North America region, with plans to expand to other regions in the future.