Titanic Survival Exploration (Udacity ML Nanodegree Project 0)

Basic decision tree model for Titanic dataset. Predict who will survive.

final project on titanic dataset in nanodegree program of udacity

This is my repository for Kaggle competition submission. This will be my first kaggle challenge which is hosted as Titanic: Machine Learning from Disaster.

machine learning à partir du dataset titanic

Using Deep Learning to create a model that predicts which passengers survived the Titanic shipwreck.

Titanic Prediction

In this project, I have built a classifier to predict the survival of a person on the historical Titanic ship. I've loaded the data from Kaggle, cleaned the data, and applied different classification algorithm on the data. Obtained the Best classifier using Stratified Cross Validation.

An algorithm that determines whether or not you're likely to have survived the Titanic (to an accuracy of 77%).

A repository showcasing the implementation of various classification algorithms on the Titanic dataset for predicting survival outcomes.

in this project i worked on the famous Titanic dataset, from cleaning the data to analyzing it and training the model [with KNN algorithm] to evaluating it.

Capstone project of Udacity's nanodegree; Working with Kaggle's Titanic dataset.

Data Science Internship at CodSoft

Welcome to the Titanic Survival Prediction Project! This website is a detailed showcase of my machine learning journey with the Titanic dataset from Kaggle. Through this project, I've explored various machine learning models and techniques to predict the survival of passengers aboard the Titanic.

This repo contains all of my submissions to Kaggle competitions or datasets

Titanic survival prediction using different Machine learning algorithms with visualizations.

Kaggle竞赛：预测泰坦尼克号中乘客的获救概率以及存活情况

Machine Learning models for Kaggle's 'Titanic: Machine Learning from Disaster' competition