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: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BuddyBent%2FTitanic
PURL: pkg:github/BuddyBent/Titanic
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 22.6 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: confusion-matrix, cross-validation, data-analysis, data-science, data-visualization, decision-trees, exploratory-data-analysis, feature-engineering, imputation, machine-learning, overfitting, xgboost