GitHub topics: titanic-kaggle | Ecosyste.ms: Repos

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. 🛠️📊

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Pentagonex/Titanic_KaggleDataset

A study of data from the Titanic - Machine Learning for Disaster dataset from Kaggle (https://www.kaggle.com/competitions/titanic/data), looking for patterns, behaviors, and information that may be useful. After that, a model is created trying to predict if each passenger of the Titanic survived or not

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Ferreira198/Titanic-Survival-Data-Analysis

# Titanic-Survival-Data-Analysis## Summary:This project analyzes Titanic passenger data to predict survival based on factors like age, gender, class, and fare. 🛳️ The analysis includes data cleaning, exploratory data analysis, and interactive visualizations. ## Tools & Libraries:pandas, matplotlib, seaborn, plotly, numpy, jupyter## Features

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Karishma-Sultania07/titanic-survival-sql-analysis

This project performs exploratory data analysis (EDA) on the Titanic dataset using SQL. It explores passenger demographics, travel class, family connections, and other features to understand their impact on survival. Key insights are derived highlighting important patterns and relationships associated with survival outcomes.

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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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ShalevAtsis/Machine-Learning-Flow

Machine Learning flow project predicting Titanic passenger survival using KNN, Decision Tree, and Naive Bayes. Features EDA, feature engineering, and model evaluation.

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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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AAdewunmi/titanic_survival_project

Titanic Survival Prediction Project (Data Science) || Tech Stack: Python, Pandas, Numpy, Seaborn, Scikit-Learn

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ErykS1999/Titanic-Project

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Ramtin-Karbaschi/Titanic_XGBOOSTmodel

XGBoost classification model predicting Titanic passenger survival with data preprocessing, feature engineering, and SMOTE for class balancing. Developed for the Kaggle Titanic competition.

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firhansetyo/Titanic-Survival-Prediction-

Exploratory Data Analysis (EDA) on the Titanic dataset to uncover survival patterns based on demographics and social status.

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busradeveci/-titanic-survival-prediction

Simple and educational Titanic survival prediction using Random Forest – beginner-friendly and cleanly structured.

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CybLX/titanic_disaster

This project explores the Titanic dataset from Kaggle, containing passenger information from the RMS Titanic disaster in 1912. It focuses on data preprocessing, exploratory data analysis (EDA), and machine learning models like logistic regression and decision trees to assess survival factors.

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clarelgibson/kaggle-titanic-in-r

My workup of the Kaggle Titanic tutorial using R.

Language: R - Size: 51.8 KB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Koldim2001/test_api

API взаимодействие с моделью

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ivanmrsulja/titanic-survivability-prediction

Testing different ML models on famous Titanic dataset from kaggle. (100% accuracy)

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rmuraix/titanic

Kaggle Titanic Comp

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alel2003/Spaceship-Titanic

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Ali-EL-Badry/Machine-learning-Algorithm

It is a Repo that contain different type of Machine Learning Algorithm like Regression ,classification and clustering that will be added soon

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brendanbignell/ML_Kaggle_Titanic

Test using LightGBM and FastTree models with GPU acceleration in C#/.NET via ML.NET.

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JosePadillaMtnz/Titanic_KaggleDataset

A study of data from the Titanic - Machine Learning for Disaster dataset from Kaggle (https://www.kaggle.com/competitions/titanic/data), looking for patterns, behaviors, and information that may be useful. After that, a model is created trying to predict if each passenger of the Titanic survived or not

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RezuwanHassan262/Titanic-EDA-and-Survival-Prediction

This project aims to investigate the factors (Age, Class, Gender, etc)that contributed to survival in the tragic sinking of the Titanic and predict the survival chances of passengers based on some provided features.

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Apfirebolt/titanic_survival_prediction

Titanic survival prediction GUI application using scikit-learn and PyQT5

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elfgk/Titanic-Data-Analysis

Titanic Data Analysis

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WalidAlsafadi/Titanic-Disaster

In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

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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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korpog/titanic_jupyter 📦

Data visualization of Titanic dataset

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Lynk4/Kaggle

This repository houses Python notebooks and scripts that contain solutions to Kaggle competitions.

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johnkou97/Titanic

Language: Python - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Igoras6534/Titanic-ML-Project

Titanic Project: Predicting survival using machine learning models and feature engineering techniques. Achieved Kaggle score: 0.78947.

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isaqueiros/Kaggle-competitions

This repository holds the scripts used for submission of results of ML models for Kaggle Challenges.

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Priyanxxhiiii/PRODIGY_DS_02

Task 2 of the Prodigy Infotech Data science internship - Perform Data Cleaning and EDA on Titanic dataset from Kaggle. Explore relationships between variables and identify patterns and trends in the data.

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harshil8705/Titanic_Survival_Prediction

I have Created a Machine Learning Model based on the Logistic Regression algorithm. This Model is capable of predicting whether the person will survive or not survive based on the given data of that particular person.This Model is highly accurate in predicting the result.

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risaasys/DSF-dibimbing

DSF Dibimbing Digital Skill Fair 32.0

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mynamewini/Assigment_TitanicSupervised

EDA is Exploratory and Explanatory Data Analysis. Global Super Store from Kaggle.com . Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods.

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Rahul-404/Titanic_Problem_Kaggel

Explore my Titanic Disaster project, where I analyze passenger data to uncover insights about survival rates. Utilizing machine learning models, I predict outcomes and visualize key factors, showcasing my skills in data analysis and predictive modeling.

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DataScienceVibes/Kaggle-Challenges

DataScience projects for learning : Kaggle challenges,

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gaellinkeu/ML-on-Titanic-Data

Titanic Challenge using different Machine Learning models

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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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utsav507/titanic-data-analysis

Data Analysis and Predictive Analysis of Algorithms on the Titanic Dataset

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HazzaFadhil/Titanic_Data

Menganalisa seberapa banyaknya orang yang selamat dan tidak selamat dari kejadian Kapal Titanic ini dengan beberapa Analisis berdasarkan berbagai macam Hal

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dyahayu48/Titanic-Dataset

Dataset Titanic adalah salah satu dataset yang paling populer dan sering digunakan dalam pembelajaran mesin, statistik, dan analisis data.

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dionixius7/Titanic-disaster-ML-Model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

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Abhinav330/Classification-problem-using-ensambling-on-titanic-dataset

a classification problem using ensemble methods on the Titanic dataset.

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sanjiv856/machine_learning_scikit-learn

Repository for machine learning in Python using Scikit-learn.

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12eymanameer/prodigy_da_task_02

Welcome to the Titanic Dataset Analysis repository! This project leverages the Titanic dataset from Kaggle to explore and visualize various factors that influenced passenger survival rates during the tragic sinking Titanic.

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Raptor2804/Titanic_Survival_Prediction_Using_Machine_Learning

Predicting the survival chances of a passenger using titanic dataset from kaggle.

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Md-Emon-Hasan/ML-Project-Titanic-Survival-Prediction

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

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Sadegh-Khedry/Titanic-Survival-Prediction

Predicting Titanic survival using neural networks.

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AlleywayCat/titanic-shipwreck-prediction-model

Predictive model that predicts which passengers survived the Titanic shipwreck.

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mittalsharad/Kaggle-Titanic-Problem

Repository Containing the solution for Kaggle's "Titanic - Machine Learning from Disaster" problem

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SUGAM2001/Titanic-Data-classification

Titanic dataset classification project. Explores various machine learning models to predict passenger survival.

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janstaffa/kaggle-titanic

Kaggle Titanic competition submission

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onacaioana/Titanic-Machine-Learning-from-Disaster

In this challenge, we'll build a predictive model that answers the question: “what sorts of people were more likely to survive to the Titanic tragedy?” using passenger data (name, age, gender, socio-economic class, etc).

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IvanBirkmaier/titanic_challenge

This repository contains the code for my attempt to solve the Kaggle Titanic Challenge.

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ahmedsamir45/Titanic_Modeling

use LogisticRegression to predict who is survived

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gianpaolof/decision_tree_titanic

this notebook is just a copy paste of other notebooks that I found online

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TanoojSeelam/Titanic-ML-Kaggle

Kaggle Competition Question

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tanulsingh/Titanic-Dataset-Analysis

EDA,Feature Engineering and Modelling for classical Titanic Problem

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LikeaBubble/Titanic-Spaceship

Titanic spaceship is a simple challenge of kaggle competitions. Task is to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly. I could to get 0.802 accuracy.

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windsuzu/Titanic-Machine-Learning-and-Deep-Learning

We use the Titanic dataset to implement machine learning and deep learning. Preprocessing data, visualizing, building models, and ensembling are practiced in the ML section; PyTorch basics, PyTorchLightning framework, and RayTune hyperparameter-tuning are in the DL section.

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NityaVerma19/EDA-on-titanic-dataset

The main purpose of this repo is to understand the approach towards EDA.

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tahsin314/Titanic-Dataset-Kaggle

This is a simple approach to solve the Titanic dataset problem from Kaggle.

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girishkuniyal/Titanic-Survival-Exploration

Titanic Survival Exploration is classical problem of classication. Real datasets are provide by kaggle

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amitdu6ey/Titanic-kaggle

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JonathanLoscalzo/titanic-initial-ml

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RoopkumarD/titanic-survival-prediction

Titanic Survival Prediction: Jupyter Notebook demonstrating Random Forest Classifier for survival prediction on Titanic dataset.

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smenendez19/titanic_ml_classiffier

Machine Learning model for Titanic Dataset of Kaggle.com, this model uses the decision tree clasiffier.

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yennichen/Titanic-Kaggle

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umairabbasi6/Prodigy-InfoTech

This repository contains my internship tasks for the company Prodigy-InfoTech.

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vrbabu9000/kaggle_titanic_statsmodeling

Taking on the first Kaggle Challenge: Titanic Disaster ML modeling, I had worked on advanced Feature engineering and Ensemble modeling techniques.

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tavisit/Kaggle-Challenges

A series of solutions to Kaggle Problems

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alrafiabdullah/titanic-kaggle

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hamzael9/titanic-survival-prediction

Titanic Survival Prediction Problem on Kaggle ( Exploratory Analysis, Feature Engineering & Prediction using Random Forest )

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Aditya-Rajgor/Personal-Projects

This is my personal repository, I upload my personal projects here. You can copy the code without a second thought. Thank you

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ojoaomorais/titanic

Repositório com a minha participação na competição do Kaggle

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ojoaomorais/spaceship_titanic

Repositório com a minha participação na competição do Kaggle

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angel101/titanic-Experiments

local experiments with titanic dataset and diferent kinds of supervised learning

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deepakshilkar/Titanic-problem-with-MATLAB

MATLAB code for predicting survival

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jacKlinc/titanic-mlops

Use the popular titanic dataset from Kaggle with DVC to test and deploy an ML pipeline

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sanchitvaid/Titanic-Disaster-EDA

Analysis of the Titanic disaster

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mehdiben1/Titanic_Project

This is a repository for Titanic dataset analysis with EDA notebook and Power BI dashboard.

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edidamanish/titanicdatasetwithneuralnet

I made a simple neural net model with three hidden layers using tensorflow to work on the titanic dataset. The accuracy of the model is lower than RandomForrestClassifier and KernelSVM Classifier but I just performed neural net analysis for educational purposes.

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sumitkutty/Titanic-A-Machine-Learning-Disaster

A simple implementation of the famous titanic dataset from Kaggle competition.

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RohitSharma0719/Titanic-Disaster-prediction

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matheuscoradinimf/kaggle-titanic-challenge

Kaggle Titanic solution

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arhcoder/Titanic-Survival-Patterns

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

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ananaymital/Titanic-Machine-Learning-from-Disaster

An attempt for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques.

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ritulsriva/My-solutions-to-kaggle-datasets

This repository contains my solutions(in Python) to different kaggle datasets

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ShivaniSuresh1/Titanic-Survival-Prediction

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liuch37/Kaggle

Kaggle competitions

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23yem/Final-Titanic-Machine-Learning

This is my first Machine Learning Project. The project employs a variety of machine learning models, including Random Forests, Gradient Boosted Trees, and Neural Networks, to predict survival. Techniques for data cleaning, feature engineering, and model tuning are thoroughly documented in the Jupyter notebooks.

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