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GitHub / BuddyBent / Titanic
We explore the Titanic Kaggle competition, employing advanced analytics and machine learning to accurately predict survival rates. This repository serves as a detailed guide for all levels, offering visual insights, data preprocessing methods, and model comparisons.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BuddyBent%2FTitanic
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 22.6 MB
Dependencies:
8
Created: 3 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Topics: confusion-matrix, cross-validation, data-analysis, data-science, data-visualization, decision-trees, exploratory-data-analysis, feature-engineering, imputation, machine-learning, overfitting, xgboost
Files
Dependencies
- lightgbm *
- matplotlib *
- numpy *
- pandas *
- scikit-learn *
- seaborn *
- termcolor *
- xgboost *