This post explains how to achieve over 80% accuracy in the Kaggle Titanic Disaster Competition by using data manipulation, feature engineering techniques, and machine learning algorithms. It provides details on the problem, data analysis, missing value handling, feature engineering, and machine learning model implementation.
Table of contents
How to Predict %80 Accuracy in the Titanic Disaster CompetitionExploratory Data AnalysisOutliersMissing ValuesFeature EngineeringML ModelIn Plain English 🚀85 Impressions