La motivación de este proyecto es adquirir aprendizaje sobre Machine Learning con Python y los modelos de prediccion afrontando un reto de Kaggle de predicción sobre un pequeño dataset con información relativa a los pasajeros del titanic, con el objetivo de predecir si cada persona a bordo del Titanic será o no un superviviente.

🚢 Titanic survival outcomes using various classification. It includes comprehensive approach to data preprocessing, training, and evaluation.

Data Science Projects: Titanic Survival Prediction, Credit Card Fraud Detection, and Movie Recommendation System | CodSoft Internship

A web app that predicts passenger survival on the Titanic using machine learning algorithms

Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.

🚢 Association and Pattern Recognition Algorithms on data from Titanic survivors.

In this repository, I uploaded all the projects/tasks in Data science Internship at Bharat Intern.

TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.

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.

Titanic Survival Prediction using Logistic Regression

deployment of machine learning models

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…

Problem to solve: On the Titanic disaster predict who would survive based on 4 features: sex, age, fare and class.

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

Solution to the titanic machine learning competition on kaggle

This repo guides you to to build predictive models of Titanic survival, including data-viz & pre-processing, feature analysis, building predictive models and performance evaluation.

This repository shows the Passenger Survival Prediction of titanic dataset.