Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.
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Updated
May 9, 2024
Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.
Titanic survival analysis using Decision tree
Analyze the Titanic dataset to extract meaningful results.
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.
Process of Data Analysis of the famous Titanic dataset with Predict Model of survival
Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
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…
titanic dataset
Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female
Estudo de Machine Learning usando dados reais do Titanic. Aula Ciencia de Dados do curso Carrefour Data Engineer.
Sopravviverai alla sciagura del Titanic? Un Classificatore Binario basato su Neural Network
This repo is for the queries I have been using to explore the Titanic dataset using SQL Server.
Visualize the RMS Titanic dataset in a Neo4j graph database.
Machine Learning from Titanic Disaster
Predict the survival rate and Chances get Survived on Titanic using Machine learning.
This analysis is about predicting the survival of a person onboard Titanic
This analysis focuses on finding answers about the chances of survival of the passengers of the Titanic tragedy on 1912
Introduction to AI and ML Course Project @NanyangTechnologicalUniversity
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