titanic-classification

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/ Titanic-calssification
The Titanic dataset is a classic playground for data scientists . It involves predicting passenger survival on the ill-fated ship based on various features . This task falls under the umbrella of classification in data science, where we aim to assign each passenger to one of two classes: survived or did not survive
bharat-intern classification dataset task-2 titanic-classification
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/ Titanic_Classification
Titanic classification predicts survival based on passenger data. Using machine learning algorithms, it analyzes features like age, gender, and class in a labeled dataset. The goal is to create a model that accurately classifies new data, reflecting the likelihood of survival in a Titanic-like scenario.
classification machine-learning titanic-classification
Language:Jupyter Notebook
/ Titanic-Survival-Prediction-ML
ML project focused on predicting Titanic passenger survival using various algorithms and extensive data analysis techniques. This project includes detailed data visualization and interpretation to uncover key factors affecting survival. By leveraging various ML models the analysis aims to achieve high predictive accuracy.
data-science machine-learning titanic-classification ada-boost-classifier data-exploration data-visualization decision-tree-classifier hyperparameter-tuning knn-classification logistic-regression model-interpretation random-forest-classifier roc-curve
Language:Jupyter Notebook

/ Titanic-calssification