Use to machine learning to create model that predict a a which passenger survived the titanic shipwreck

Task 2 of Prodigy InfoTech Data Science Internship

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

CatBoost tutorials repository

This repository contains machine learning projects in the Python programming language.

RMS Titanic was a British passenger and mail carrying ocean liner, operated by the White Star Line, that sank in the North Atlantic Ocean on 15 April 1912 as a result of striking an iceberg during her maiden voyage from Southampton, England to New York City United States.

Titanic survival analysis using Decision tree

Analyzing demographic factors with R to uncover patterns influencing passenger survival rates on the Titanic.

This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!

Uncover the secrets of deploying ML models in production with this tutorial. Leveraging the Titanic dataset, learn the ins and outs of transitioning from research to production. Master modularization, code standards, and scalability for successful machine learning deployments.

A CSV parser created in HTML and Javascript

Repository for Data Science and Visualization

Welcome to the Titanic Classification project repository! This project aims to predict whether a passenger on the Titanic survived or not based on various features such as age, gender, class, and more.

Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.

In this data analyst project, we will dive into the Titanic passenger dataset to analyze and uncover patterns, correlations, and insights that shed light on the factors that influenced passenger survival. By applying data analysis techniques, statistical methods, and visualization.

Discover the basics of Machine Learning with examples in Python. Read the underlying article on Medium:

Analyze the Titanic dataset to extract meaningful results.

Java-implementation of a decision tree classifier based on "Titanic - Machine Learning from Disaster" dataset.