Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150…

Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.

Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female

Visualize the RMS Titanic dataset in a Neo4j graph database.

Process of Data Analysis of the famous Titanic dataset with Predict Model of survival

Introduction to AI and ML Course Project @NanyangTechnologicalUniversity

Machine Learning from Titanic Disaster

Sopravviverai alla sciagura del Titanic? Un Classificatore Binario basato su Neural Network

Repository for Analysis of the Titanic problem on Kaggle.com

This analysis is about predicting the survival of a person onboard Titanic

Estudo de Machine Learning usando dados reais do Titanic. Aula Ciencia de Dados do curso Carrefour Data Engineer.

Predict the survival rate and Chances get Survived on Titanic using Machine learning.

Analyze the Titanic dataset to extract meaningful results.

This repo is for the queries I have been using to explore the Titanic dataset using SQL Server.

Titanic survival analysis using Decision tree

This analysis focuses on finding answers about the chances of survival of the passengers of the Titanic tragedy on 1912

Data Analysis on the RMS Titanic data set using Python

So I decide to work through the insight of Titanic tragedy with a glance at the Data (famously) provided on Kaggle.

This project aims to predict the survival of passengers aboard the Titanic using the Naive Bayes classifier algorithm. The dataset used in this project contains information about Titanic passengers, such as their age, gender, passenger class, and other relevant features.