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GitHub Repo
https://github.com/ZTECH10/Analysis-of-Titanic-Disaster-Dataset-using-Pandas-and-Machine-Learning-Libraries
ZTECH10/Analysis-of-Titanic-Disaster-Dataset-using-Pandas-and-Machine-Learning-Libraries
While the Titanic disaster occurred over one a century ago, it still attracts researchers interested in understanding why some passengers survived while others died. With advanced data analysis and machine learning libraries, such as Pandas and Scikit-learn, a publicly available dataset from the Kaggle website, with 891 train008 ing examples, 12 features, and 418 testing samples, is analyzed to determine which features of the dataset were more likely to contribute to the survival of the passengers and who is more likely to survive than others. Also, several ma013 chine learning-based classification models will be built to predict which passengers survived the Titanic shipwreck and achieve higher accu016 racy results than previous works. These models include k-nearest neighbours, Naive Bayes, lin018 ear support vector machine, Gaussian support vector machine, discriminant analysis, decision trees, random forests, logistic regression, and XGBoost
GitHub Repo
https://github.com/simonschoe/vector-db-earnings-calls