Github Vipanchikatthula Titanic Survival Prediction Repositoy For Data science is all about presenting insights to the end users in the most simplistic way possible. you work on a machine learning deep learning model from data cleaning to hyperparameter tuning. however, you realize that the most important task of presenting it to the end users has not even started yet. Welcome to my titanic survival project! this repository contains my implementation of a binary classification pipeline that predicts whether a passenger survived the titanic shipwreck based on features like age, class, and social status.
Github Nithinkodithyala Titanic Survival Prediction Shiv06082005 titanic survival prediction public notifications you must be signed in to change notification settings fork 0 star 0. My project involves rigorous model testing to determine the best approach for predicting passenger survival on the titanic. i evaluate multiple machine learning models, including decision tree, lgbm, xgboost, randomforest, extratrees, and logistic regression. Shiv06082005 titanic survival prediction public notifications you must be signed in to change notification settings fork 0 star 0. Project highlights binary classification problem predicting whether a passenger survived (1) or not (0) using the titanic dataset.
Github Adarshnitt Titanic Survival Prediction Https Www Kaggle Shiv06082005 titanic survival prediction public notifications you must be signed in to change notification settings fork 0 star 0. Project highlights binary classification problem predicting whether a passenger survived (1) or not (0) using the titanic dataset. Welcome to the titanic survival prediction repository! this project leverages advanced machine learning techniques to predict the survival of passengers aboard the rms titanic using the famous titanic dataset. Titanic survival prediction overview this project analyzes the titanic passenger dataset to identify which passenger characteristics were most associated with survival and to build classification models that predict survival outcomes. the repository is organized as a small, professional analytics project rather than a single notebook dump. Repository structure titanic survival prediction rf │ ├── data │ └── train.csv # raw dataset from kaggle │ ├── models │ └── rf best model.pkl # saved random forest model │ ├── notebooks │ └── portofolio titanic.ipynb # eda, feature engineering, training, and shap evaluation │ ├── predict.py # standalone python script for inference. This project is an end to end machine learning web application that predicts whether a passenger survived the titanic disaster based on user input. it integrates data preprocessing, model building, and deployment into a single system.
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