GitHub topics: titanic | Ecosyste.ms: Repos

shawkymarya/Titanic-project

Titanic dataset cleaning & preprocessing using Python and Jupyter Notebook

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shreyas27092004/SCT_DS_2

Titanic survival prediction using data preprocessing, EDA, and ML models.

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arashniroomand/Titanic-Logistic-Regression-Lecture

A teaching-oriented notebook that demonstrates an end-to-end classification workflow using logistic regression on the Titanic dataset. Covers data cleaning, feature engineering, model training, evaluation, ROC curves, and confusion matrices in a clear lecture format.

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Affan005-ai/Titanic-EDA-ML

"Exploratory Data Analysis and Machine Learning on the Titanic dataset to uncover survival patterns and build predictive models."

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Afroz599/titanic-survival-analysis

Titanic dataset analysis and insights on the Titanic dataset

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AlAsiri-Ali/MachineLearning-TitanicSurvival

🎓 Master's degree Machine Learning project analyzing Titanic passenger survival data. Comprehensive data exploration, cleaning, visualization, and survival pattern analysis using Python, pandas, matplotlib, and seaborn.

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nehawagh10/Titanic-Survival-Predictor-

🚢 Predict Titanic passenger survival using Machine Learning! This project trains a Logistic Regression model on the Titanic dataset and integrates it with a Streamlit web app for interactive predictions. Includes full code, datasets, and an easy-to-run app.

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jonathanrao99/Titanic-Classification

🚢 Predict Titanic survival with ML! Complete EDA, visualizations & 79.8% accuracy models. Women survived 74% vs men 19% - discover the factors that mattered! 📊🤖

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ganguliSilva/Titanic-Survival-Prediction

Machine Learning project predicting survival on the Titanic using decision trees. Includes EDA, preprocessing, and model evaluation. (scikit-learn, pandas, decision trees).

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Menezess42/Titanic

My kaggle Titanic chalange

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amansiwach868/titanic-survival-prediction

This repository contains a project focused on predicting Titanic passenger survival using machine learning techniques. It includes data analysis, feature engineering, and model evaluation to provide insights into survival rates. 🛠️📊

Language: Python - Size: 259 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

adithyanum/titanic-survival-ml

End-to-end ML classification project using the Titanic dataset (Random Forest + GridSearchCV).

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enrico-favale/Titanic-Survivability

This project provides a neural network built using TensorFlow to predict the survival probability of Titanic passengers based on the well known dataset. The model can be saved and used to make new prediction using the "Passenger" class.

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jenniferbcaf/Eksploracyjna-Analiza-Danych-o-pasazerach-statku-Titanic

Explore Titanic passenger data with Python using Jupyter, Pandas, Matplotlib, and Seaborn. Dive into insights and visualizations! 🚢📊

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AlanSteinbarth/Eksploracyjna-Analiza-Danych-o-pasazerach-statku-Titanic

🔍 Titanic EDA: odkrywanie wzorców przeżywalności przez analizę danych. Profesjonalny projekt z wizualizacjami i insights

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FletcherMorgan/Titanic-Survivor-Classification

An end-to-end Titanic survival analysis with EDA, feature engineering, and a cross-comparison of five ML models.

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mmmmmtttttt/titanic-ml-project

A machine learning project for predicting Titanic passengers' survival using logistic regression.

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divinemoments/Project-1-Titanic-SQL-Analysis

The objective of Project 1 is to perform SQL analysis to extract insights about Titanic passenger demographics, survival rates, and other relevant statistics.

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sushmitha155/titanic-task1

Data cleaning and preprocessing on the Titanic dataset for Elevate Labs AI/ML Internship Task 1.

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BartoszTyl/titanic_survival_predictor

Predicting survival on the Titanic using Python, data preprocessing, feature engineering, and machine learning models like XGBoost, Random Forest, and more.

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Fertmeneses/titanic-ML-from-disaster

Code used in Kaggle competition: Titanic - Machine Learning from Disaster

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ashishpatel26/Titanic-Machine-Learning-from-Disaster

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 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics

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maldo1904/titanic-analysis

Análisis exploratorio del dataset Titanic con Python, seaborn y pandas. Proyecto de portafolio para ciencia de datos.

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cantelmoeduarda/titanic_prob_sobrevivencia

O que influenciou a probabilidade de sobrevivência do Titanic?

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HaidarNabiilahSunu/Exploratory-Data-Analysis_Titanic

Exploratory Data Analysis (EDA) adalah proses awal dalam analisis data yang bertujuan untuk memahami struktur data, menemukan pola, mendeteksi anomali, menguji asumsi, dan mencari hubungan antar variabel sebelum melakukan pemodelan lebih lanjut.

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helenptrcia/Python-EDA-TitanicDataset

EDA stands for Exploratory Data Analysis. In this project, I performed EDA on a sample Titanic dataset consisting of 500 passenger records. The dataset includes key features such as name, sex, age, and survival status.

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bassamn/titanic-data-analysis

Exploratory data analysis (EDA) of the Titanic dataset using Python. Analyzed survival patterns by age, gender, and class with visualizations (seaborn/matplotlib). Non-ML focus—highlighting insights with statistics and plots.

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AndrewObwocha/TitanicSurvival

🚢 End-to-end Python pipeline for Titanic survival classification. Demonstrates EDA, preprocessing, feature engineering, and Logistic Regression evaluation using Scikit-learn.

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XessX/Titanic_Survival_Prediction

This project is an end-to-end machine learning pipeline that predicts whether a passenger survived the Titanic disaster, using the famous Titanic dataset. It covers everything from exploratory data analysis to model deployment and custom predictions.

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clarelgibson/kaggle-titanic-in-r

My workup of the Kaggle Titanic tutorial using R.

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estevo97/Los-prefijos-del-Titanic

Clicka aquí para ver el proyecto en Streamlit!!!

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MindlessMuse666/train-test-splitter

Анализ данных о пассажирах Титаника и разбиение на обучающую и тестовую выборки. Практическое задание по дисциплине "Основы применения методов искусственного интеллекта в программировании".

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sanjeevsingh74/TITANIC-SURVIVAL-ANALYSIS

The Titanic dataset offers a comprehensive glimpse into the passengers aboard the ill-fated RMS Titanic, which famously sank on its maiden voyage in April 1912 after colliding with an iceberg. This dataset contains a wealth of information about individual passengers, including demographics, ticket class, cabin information, family relationships, far

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DKMFzF/eda-data-set-titanic

Titanic passenger data analysis.

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alexchilton/kaggley

This is just a random repo where i put some kaggle files i have been doing so they are not lost

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MindlessMuse666/missing-data-processing

Проект по обработке пропущенных значений в данных о пассажирах Титаника с использованием библиотек Python Matplotlib и Seaborn.

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MindlessMuse666/titanic-data-visualization

Проект по визуализации данных о пассажирах Титаника с использованием библиотек Python Matplotlib, Seaborn и Plotly.

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MindlessMuse666/eda-pandas

Проект по разведочному анализу данных (EDA) о пассажирах Титаника с использованием библиотеки Pandas. Включает в себя загрузку данных, предобработку, статистический анализ, визуализацию и создание сводных таблиц. Цель проекта - демонстрация основных методов и инструментов EDA для анализа и понимания данных.

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jademene/Titanic-Survival-Classification-Model Fork of JacopoBulgarelli/Cloud-Cognitive-Services

Machine Learning | Classification task

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bell-kevin/titanicNeuralNetwork

XGBoost, which tends to be one of the top-performing algorithms for structured/tabular data. We do some feature engineering (e.g., extracting titles from passenger names, creating family size features, etc.), then train and tune an XGBoost model

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iamdebasishdas123/Titanic-Survival-Prediction-

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AYSE-DUMAN/-Preprocessing-and-data-visualization-of-the-titanic-dataset

Kodluyoruz istatistik ve veri ön işleme çalışma grubunda Eğitmenimiz tarafından önerilen Titanic veri seti üzerindeki çalışmam yer almaktadır. Bu çalışmada veri setinin betimsel istatistikleri, veri görselleştirmesi, eksik (kayıp) veri analizi yöntemleri (missing value analysis methods) , aykırı değer analizi (outlier detection) yöntemleri ilgili veri setine uygulanmıştır.

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yakovypg/TitanicSurvivalPredictor

Python script that can predict a survival on the Titanic.

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knsiczarnamagia/kaggle-tutorial

Kick-off repository for starting with Kaggle!

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SalunkheAbhijit18/PRODIGY_DS_02

Task 2 of the Prodigy infotech Data science internship

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AhmedNasef3/Titanic-Full-EDA

Simple EDA for Titanic Dataset.

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Djmr5/Titanic-IA

This repository contains an in-depth analysis and model trained on the famous Titanic dataset from Kaggle. The goal is to predict the survival of passengers based on various features like class, age, fare, and family size, among others using algorithms viewed at class.

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GayathriMuralidharan/seven7code-datascience

Completed a Data Science internship at Seven7Code, developing models for Titanic survival prediction, Cricket player performance, and customer segmentation, demonstrating machine learning and data analysis skills.

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Edopramudya/Potofolio-Dibimbing---Titanic

This repository contains a series of data analysis and visualization tasks performed on the Titanic dataset. The analysis includes data cleaning, visualization, and correlation analysis to explore the relationships between various features and survival rates of passengers.

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RohanAmbhore786/PRODIGY_DS_02

Task 2 of the Prodigy infotech Data science internship

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Yash2892/Prodigy-Infotech-DS-Task-2

Task 2 of the Prodigy infotech Data science internship

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SahibzadaSalman/Machine-Learning-with-Python

This repository contains a gentle introduction to machine learning algorithms with hands on practical examples

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TanoojSeelam/Titanic-ML-Kaggle

Kaggle Competition Question

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AmirMotefaker/Titanic-Machine-Learning-from-Disaster

Predict survival on the Titanic and get familiar with ML basics

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Aiza-D/EDA-of-Titanic.csv-

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

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cmd-master/titanic

A look into what factors have influenced the survival of the passengers of the Titantic.

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Lapig/Iceberg

LASTFM thing

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tuanio/titanic_ds_k15

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franklaercio/titanic_machine_learning

In this code we will predict survived for the tragic accident Titanic. It's a Kaggle competition.

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Swalloow/pyspark-ml-examples

Spark ML Tutorial and Examples for Beginners

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SamaKhan35/Titanic-Analysis-Website

This web application provides a multivariate analysis related to Titanic passengers.

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NithyaRamprasad/Ship_sinking

This project contains implementation of ‘2D sinking ship’ using a set of OpenGL functions.

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anirbanc3/Kaggle_titanic

Kaggle.com is a website that hosts competitions on data analytics and prediction. It provides the data source and competitors are asked to submit their solution. This repo contains the source code for one such competition, namely, "Titanic: Machine Learning from Disaster"

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arhcoder/Titanic-Survival-Patterns

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

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Chandureddy8/ML--projects

machine learning projects for practice -Beginners

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Chisom-chukwumerije/Titanic-Ship-

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.

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RadwaYahiaWageh/CodSoft

A collection of projects using python

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JirkaZelenka/CVUT-FIT_Data_Mining

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Git-Yuya/gci

東京大学グローバル消費インテリジェンス寄付講座

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SANTONLA/05-EJERCICIOS-TITANIC

Ejercicios con Pandas: Titanic

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fatih-ml/titanic-survival-prediction

Predicting passenger survival on the miserable Titanic event, using machine learning classification techniques. Explore data, engineer features, and build models to understand the factors influencing survival rates.

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inclinedadarsh/titanic

Titanic survival prediction - Analysis, Model training and Web app

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lfaferreira/knn-titanic

🚢 Exploratory Data Analysis and Machine Learning with KNN model on Titanic dataset

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rissh/TitanicSurvivalPredictionUsingML

Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢

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tmat84/titanic_ml_python

Kaggle Titanic ML project

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GayasuddinMohd/Titanic-Passenger-Analysis-A-Comprehensive-Exploration

Explore the Titanic Data : Embark on an analysis voyage through the historic Titanic dataset. Uncover passenger demographics, survival factors, and deck-wise insights.

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yugoff/ml-kaggle-forecast-of-survival-on-the-Titanic

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shusingh/Titanic-The-Ride

In this Machine Learning Classification project we are going to predict who is going to survive the titanic crash and who isn't !!

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NehaTalwar/DECISION-TREE-AND-RANDOM-FOREST-TITANIC-WITH-R

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RaiAbhishek/titanic_neural_network

Implementation of Neural Network from scratch on Titanic Dataset.

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AnuraagRath/TitanicDeathtoll-App

A simple webapp that displays information about the deathtoll of the Titanic using the Titanic Dataset. The webapp is created using the Python3 library 'streamlit'. The app contains a few filters such as the Pclass, Gender and Survived(0 or 1) that display the data according to those filters selected.

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AnuraagRath/Titanic_DataAnalysis

Using Pandas and Numpy, I performed basic data analysis on the deathtoll of the Titanic. Here I discovered as to how many people died, which statusclass suffered the most, which gender suffered the most and many other information.

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Davipaulo9/Titanic_data

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

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mrankitgupta/titanic-survival-prediction-93-xgboost

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

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Arkantos-13/Titanic_Machine_Learning_From_Disaster

My approach in one of the most classic data analysis projects ever

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ISAIAH-Git/Titanic-Machine-Learning-from-Disaster

END TO END MACHINE LEARNING MODEL BUILDING

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Laetitia-Deken/Machine_Learning_Titanic_Dataset

Machine Learning / Python with Titanic Dataset

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arunsamuel08/Titanic-EDA-and-Predictions

This is a dataset of people who were on the Titanic. I had to predict the survival rates of people aboard the Titanic. Extensive feature engineering was done to get a good score.

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ayesha92ahmad/kaggle-titanic

Predict survival on the Titanic and get familiar with ML basics. Using steps in https://www.kaggle.com/mrisdal/exploring-survival-on-the-titanic and data from https://www.kaggle.com/c/titanic

Language: R - Size: 203 KB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

apoorvatiwaree/Titanic-survival-prediction

Repository for building a suitable prediction model for the Titanic Survival Dataset

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saadbinmanjur/Prediction-on-Titanic-Disaster-with-Machine-Learning-in-R

Titanic - Machine Learning from Disaster is the beginner challenge for novices they start here for predicting survival on the Titanic and get familiar with ML basics.

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Hanler/Titanic_ML_random_forest

Predict will people stay alive in Titanic disaster using 'random forest'

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Hanler/Titanic_ML_tree_decision

Predict will people stay alive in Titanic disaster using 'decision tree'

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SUDIPA9002/ASIP

Data Science internship at Asterisc Technocrat Pvt. Ltd. Task - Billioniaire Analysis, Covid - 19 Data Analysis, Titanic Survival Prediction

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KasumiL5x/kaggle-titanic

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snehazest/Bhart_Intern-Task-2

This repository contains a data science project that focuses on predicting the survival of passengers aboard the Titanic during the tragic disaster. The goal is to build a machine learning model that can accurately predict whether a passenger survived or not based on various features such as socio-economic status, age, gender, and more.

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