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Nov 6, 2019 · To predict the passenger survival — across the class — in the Titanic disaster, I began searching the dataset on Kaggle. I decided to choose, Kaggle + Wikipedia dataset to study the objective ...
Oct 16, 2018 · It is a simple and easy to use model and the accuracy of 81.5 is a pretty good score for the Titanic dataset. Conclusion: We began our exercise, by exploring the dataset, asking questions and...
Oct 1, 2017 · First, I tried good old fashion Logistic Regression. logistic_regression = LogisticRegression() logistic_regression.fit(X_train, y_train) y_pred = logistic_regression.predict(X_test) logistic_regression.score(X_train, y_train) This yielded ~80% accuracy. Next, I tried K-nearest-neighbors.
The EDA is nice, good work. For the score it looks like you test your model on the same data it was trained on, thus the very high accuracy. Even with good models, you can usually only get about 80% accuracy on the Titanic dataset.
Mar 17, 2023 · The score is a masterpiece of music that captures the beauty, romance, and tragedy of the Titanic's story. From the opening notes of "Never an Absolution" to the hauntingly beautiful "My Heart Will Go On," the score perfectly complements the film's sweeping visuals and emotional storytelling.
Explore and run machine learning code with Kaggle Notebooks | Using data from Titanic - Machine Learning from Disaster.
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Titanic: Music from the Motion Picture became the highest-selling primarily orchestral film score in history, with worldwide sales surpassing 30 million copies.
