Day 4 of 10 — 1,517 people died on the Titanic. But survival wasn’t random. 🚢 I built the model. The data told a brutal story: → 1st class women: 95% chance of survival → 1st class men: 37% → 3rd class women: 50% → 3rd class men: 13% 😬 83.2% validation accuracy — on REAL historical passenger data. Why this project matters: 📌 Most famous beginner dataset on Kaggle 📌 Teaches data cleaning (missing values, encoding) 📌 First time you’ll feel like a real data scientist Drop your class + gender in the comments — I’ll predict your survival 😅 Comment ‘TITANIC’ for the full code in your DMs. 6 days left 👇 MachineLearning #Python #TitanicDataset #RandomForest #Kaggle #DataCleaning sklearn DataScience MLBeginner FeatureEngineering PythonProjects 100DaysOfCode MLDay4 10DayChallenge aartiipy KaggleCompetition PandasTutorial DataScienceIndia MLClassification AIProjects titanic survival prediction Python classification ML project titanic kaggle machine learning f...