Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: titanic

AmirMotefaker/Titanic-Machine-Learning-from-Disaster

Predict survival on the Titanic and get familiar with ML basics

Language: Jupyter Notebook - Size: 17.6 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

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

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

Size: 1.01 MB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 0 - Forks: 0

cmd-master/titanic

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

Language: Jupyter Notebook - Size: 479 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 0 - Forks: 0

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

Machine Learning | Classification task

Language: Jupyter Notebook - Size: 1.48 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 0 - Forks: 0

Lapig/Iceberg

LASTFM thing

Language: Java - Size: 2.21 MB - Last synced: 18 days ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

tuanio/titanic_ds_k15

Language: Jupyter Notebook - Size: 256 KB - Last synced: 27 days ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

adrianoleitedasilva/AnaliseTitanic

Um analise dos dados sobre o acidente do Titanic

Language: Jupyter Notebook - Size: 37.1 KB - Last synced: about 1 month ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

franklaercio/titanic_machine_learning

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

Language: Jupyter Notebook - Size: 223 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 0 - Forks: 2

Swalloow/pyspark-ml-examples

Spark ML Tutorial and Examples for Beginners

Language: Jupyter Notebook - Size: 1.68 MB - Last synced: about 1 month ago - Pushed: about 6 years ago - Stars: 16 - Forks: 7

MelihGulum/Exploratory-Data-Analysis-EDA

Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.

Language: Jupyter Notebook - Size: 6.64 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 7 - Forks: 4

RafaelGoncalves8/titanic

Python entry in the Kaggle's Titanic: Machine Learning from Disaster competition

Language: Jupyter Notebook - Size: 50.8 KB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

SamaKhan35/Titanic-Analysis-Website

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

Language: R - Size: 33.2 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

NithyaRamprasad/Ship_sinking

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

Language: C - Size: 4.88 KB - Last synced: 3 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

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"

Language: Python - Size: 17.6 KB - Last synced: 3 months ago - Pushed: almost 7 years ago - Stars: 1 - Forks: 2

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

Language: Jupyter Notebook - Size: 141 KB - Last synced: 3 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

arhcoder/Titanic-Survival-Patterns

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

Language: Jupyter Notebook - Size: 239 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 0

Chandureddy8/ML--projects

machine learning projects for practice -Beginners

Language: Jupyter Notebook - Size: 1.58 MB - Last synced: 3 months ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

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.

Size: 773 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

RadwaYahiaWageh/CodSoft

A collection of projects using python

Language: Jupyter Notebook - Size: 1.16 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

JirkaZelenka/CVUT-FIT_Data_Mining

Language: Jupyter Notebook - Size: 699 KB - Last synced: 4 months ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 18.2 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

SANTONLA/05-EJERCICIOS-TITANIC

Ejercicios con Pandas: Titanic

Language: Jupyter Notebook - Size: 410 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 19.5 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 3 - Forks: 0

inclinedadarsh/titanic

Titanic survival prediction - Analysis, Model training and Web app

Language: Jupyter Notebook - Size: 524 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

lfaferreira/knn-titanic

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

Language: Jupyter Notebook - Size: 5.64 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

rissh/TitanicSurvivalPredictionUsingML

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

Language: Jupyter Notebook - Size: 405 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

tmat84/titanic_ml_python

Kaggle Titanic ML project

Language: Jupyter Notebook - Size: 159 KB - Last synced: 6 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.05 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

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 !!

Language: Jupyter Notebook - Size: 1.53 MB - Last synced: 7 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

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

Language: R - Size: 28.3 KB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

RaiAbhishek/titanic_neural_network

Implementation of Neural Network from scratch on Titanic Dataset.

Language: Jupyter Notebook - Size: 15.6 KB - Last synced: 7 months ago - Pushed: about 6 years ago - Stars: 1 - Forks: 3

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.

Language: Python - Size: 1.76 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 744 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 224 KB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 45 - Forks: 69

Davipaulo9/Titanic_data

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

Language: Jupyter Notebook - Size: 1.39 MB - Last synced: 7 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

realshubhamraut/Titanic-Survival-Analysis

Analysis of TESLA Stock

Language: Jupyter Notebook - Size: 1.95 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

Arkantos-13/Titanic_Machine_Learning_From_Disaster

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

Language: Jupyter Notebook - Size: 3.58 MB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

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

END TO END MACHINE LEARNING MODEL BUILDING

Language: Jupyter Notebook - Size: 685 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Laetitia-Deken/Machine_Learning_Titanic_Dataset

Machine Learning / Python with Titanic Dataset

Language: Jupyter Notebook - Size: 341 KB - Last synced: 8 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

Mysftz/Spaceship-Titanic

Machine Learning Python for detecting whether passengers are transported or not using tensor flow decision tress. Improved python code and accuracy from source code (link below).

Language: Jupyter Notebook - Size: 418 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

Mysftz/Titanic-Survivors-Classification

Python files for a classification model on whether or not a passenger survived the titanic disaster or not.

Language: Jupyter Notebook - Size: 43.9 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

EpocDotFr/titanic 📦

Python script that send emails when a specific French business is officially closed

Language: Python - Size: 4.88 KB - Last synced: 9 months ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

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: 9 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0

apoorvatiwaree/Titanic-survival-prediction

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

Language: Jupyter Notebook - Size: 490 KB - Last synced: 9 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

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.

Language: R - Size: 77.1 KB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

xtutran/titanic

My titanic's solution to achieve >0.8 in Kanggle

Language: Jupyter Notebook - Size: 2.52 MB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1

Hanler/Titanic_ML_random_forest

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

Language: Python - Size: 34.2 KB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

Hanler/Titanic_ML_tree_decision

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

Language: Python - Size: 35.2 KB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

SUDIPA9002/ASIP

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

Language: Jupyter Notebook - Size: 2.07 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

KasumiL5x/kaggle-titanic

Language: Jupyter Notebook - Size: 853 KB - Last synced: 9 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 567 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

jatonline/kaggle-titanic

This is my submission to the Kaggle Titanic tutorial competition. The task is to predict whether a passenger on the Titanic survived or died in the disaster of 15 April 1912.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

amitmakashir/Titanic-challenge

The getting started challenge from Kaggle where we build a model to predict the surviving passengers on Titanic after the incident.

Language: Jupyter Notebook - Size: 83 KB - Last synced: 10 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0

yuandmi-1/Titanic

Titanic ML

Language: Python - Size: 99.6 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

luizasch2/A2-ICD

Visualização de gráficos relacionados Titanic para disciplina de Introdução à Ciência de Dados da FGV/EMAp.

Language: HTML - Size: 560 KB - Last synced: 8 months ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

tdaug6/Titanic-Competition

Score: 0.7799 - Submissions to Spaceship Titanic Kaggle competition

Language: Jupyter Notebook - Size: 781 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

kumod007/Titanic-Spaceship-Kaggle-Competition-End-To-End-Project

In this repository you will get a complete guide to Titanic Spaceship Kaggle Competition. The main aim of this project is to predict whether the passengers will be transported to alternate dimensions or not.

Language: Jupyter Notebook - Size: 4.96 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

Mickey0521/Deep-Learning-Examples-Jupyter-Notebook

Some useful examples of Deep Learning (.ipynb)

Language: Jupyter Notebook - Size: 1.44 MB - Last synced: 12 months ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 2

hosseindamavandi/Titanic

Language: Jupyter Notebook - Size: 43.9 KB - Last synced: 12 months ago - Pushed: almost 3 years ago - Stars: 13 - Forks: 0

taon1607/ML-projects-practicing

机器学习项目实战

Language: Jupyter Notebook - Size: 11.2 MB - Last synced: 12 months ago - Pushed: almost 4 years ago - Stars: 33 - Forks: 23

nicolasfguillaume/Titanic-Model-Kaggle

Assignment of the "Introduction to Data Science" course on Coursera.org

Language: Python - Size: 4.88 KB - Last synced: about 1 year ago - Pushed: over 8 years ago - Stars: 1 - Forks: 0

Chidinma23/Titanic-Dataset-Analysis

The project was carried out the give more insights into the Titanic incident, to know how many people were affected and how many that survived etc. during the incident.

Size: 9.77 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

lilohung/Titanic

Language: Jupyter Notebook - Size: 245 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

samuelfullerthomas/argo

find things in google maps

Language: JavaScript - Size: 286 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 4 - Forks: 2

hiro106/kaggle_titanic

Language: Jupyter Notebook - Size: 57.6 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

clarelgibson/kaggle-titanic-in-r

My workup of the Kaggle Titanic tutorial using R.

Size: 49.8 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

amberkakkar01/Titanic-Survival-Prediction

Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.

Language: Jupyter Notebook - Size: 108 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 9 - Forks: 11

jesamkim/amazon-sagemaker-titanic-dataset-ml

model build, training, inference in SageMaker pipeline

Language: Jupyter Notebook - Size: 912 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

alexanderulanch/kaggle_titanic_classifier

This is a classifier for the Titanic Kaggle competition. The goal of the competition is to predict whether a passenger survived the sinking of the Titanic based on various features such as age, sex, and passenger class.

Language: Jupyter Notebook - Size: 36.1 KB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

adelshb/Quantum-Machine-Learning-for-Titanic-on-IBM-Q

Predict survival on the Titanic on a Quantum Computer

Language: Jupyter Notebook - Size: 19.5 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 10

Niv-Moshe/Titanic

Size: 2.17 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

AboNady/Titanic_Classification

In this challenge, I 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).

Language: Python - Size: 42 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

l3r4nd/Titanic 📦

The Dataset was taken from Kaggle site for the competition.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced: 11 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

ToKoSoftware/dhbw-big-data-analytics 📦

WWI19A Big Data Analytics Project on Titanic Survival

Language: Jupyter Notebook - Size: 3.54 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

ttariqaziz/pandas

Titanic dataset is used to perform Pandas operations

Language: Jupyter Notebook - Size: 115 KB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 482 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

BakhytSembayev/titanic

About movie Titanic and Mars and Matrix and future

Language: HTML - Size: 1.87 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Kamomille/Titanic

Auriez vous survécu au naufrage du Titanic ?

Language: Jupyter Notebook - Size: 1.28 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

MankoMyk/kaggle_titanic

Kaggle 'Titanic - Machine Learning from Disaster' GettingStarted Prediction Competition

Language: Jupyter Notebook - Size: 56.6 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

venky14/Data-Analysis-Project-Titanic

Data Analysis Solution for Titanic passenger data.

Language: HTML - Size: 550 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 4

Husna-POYRAZ/Titanic-Machine-Learning

Use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

Language: Jupyter Notebook - Size: 81.1 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

LeondraJames/Titanic_Attempt-1

Kaggle Titanic Data Set Using Logit Model

Language: R - Size: 447 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

gupta-vivek/deep-learning

All things related to deep learning.

Language: Python - Size: 2.12 MB - Last synced: 8 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

MeSugar/synth_competition

Solution for the Tabular Playground Series (Synthanic) competition

Language: Jupyter Notebook - Size: 6.28 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

Yusuf-Sameh/Simple-EDA-ML-model-Logistic-Regression-_Titanic-Data

This project is from kaggle competitions, and the task is 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).

Language: Jupyter Notebook - Size: 173 KB - Last synced: 10 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

viniciusov/titanic-survivors

Language: Jupyter Notebook - Size: 899 KB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 2 - Forks: 1

Givames/Titanic

Le RMS Titanic, le plus grand et luxueux paquebot de son époque

Language: HTML - Size: 33.2 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

11dome11/Predicting-Survival-on-Titanic-Disaster

The goal of this project is use machine learning to create a model that predicts which passengers survived the Titanic shipwreck

Language: Jupyter Notebook - Size: 2.92 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

ADVAIT135/Titanic-Survival-Analysis-Model

Kaggle Titanic Survival Analysis model with 86.59 accuracy with Random Forest Classifier and a score of 0.7556 on kaggle Titanic Survival Analysis scorecard

Language: Jupyter Notebook - Size: 154 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

kplachkov/Machine-Learning

Essential machine learning algorithms, concepts, examples and visualizations. Popular machine learning algorithms from scratch. Applications of machine learning.

Language: Jupyter Notebook - Size: 505 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 3 - Forks: 2

levyvix/projetos-machine-learning

Projetos de Data Science feitos com a liguagem R

Language: R - Size: 427 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

dkhundley/titanic-byoc

Deploying Titanic with a Custom BYOC Container to Multiple Platforms!

Language: Jupyter Notebook - Size: 577 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

joshidipesh12/Titanic-Shipwreck-Analysis

Kaggle Titanic Prediction Challenge

Language: Jupyter Notebook - Size: 263 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

adarshnitt/Titanic-Survival-Prediction

https://www.kaggle.com/c/titanic/data

Language: Jupyter Notebook - Size: 377 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

extraordy/titanic

Sopravviverai alla sciagura del Titanic? Un Classificatore Binario basato su Neural Network

Language: Jupyter Notebook - Size: 88.9 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 2 - Forks: 0

emreoztr/kaggle-titanic-machine-learning

My solution for kaggle titanic competition

Language: Jupyter Notebook - Size: 463 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

LearnToCode180/Titanic-Logistic-Regression

Create a Machine Learning model that predicts which passengers survived the famous Titanic shipwreck.

Language: Jupyter Notebook - Size: 95.7 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

Csengupta1101/Titanic-Survivor-Prediction

The sinking of the Titanic is one of the most infamous shipwrecks in history. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In here we need to build a predictive model that answers the question: “what sorts of people were more likely to survive?”

Language: Jupyter Notebook - Size: 193 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

thearyanmittal/titanic-study

A data-scientific approach to determining which people were most likely to die on the RMS Titanic.

Language: Jupyter Notebook - Size: 152 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

Related Keywords
titanic 169 machine-learning 67 kaggle 52 python 51 titanic-survival-prediction 28 titanic-kaggle 26 data-science 26 kaggle-competition 20 classification 19 jupyter-notebook 18 pandas 18 data-analysis 16 kaggle-titanic 15 numpy 14 titanic-dataset 14 data-visualization 14 matplotlib 13 sklearn 13 python3 12 random-forest 12 machine-learning-algorithms 12 logistic-regression 11 prediction 11 r 10 seaborn 10 scikit-learn 9 titanic-survival 9 deep-learning 8 titanic-data-analytics 8 exploratory-data-analysis 8 visualization 7 ml 7 titanic-survival-exploration 7 xgboost 6 linear-regression 6 datascience 6 analysis 6 machinelearning 6 jupyter 6 data 5 titanic-machine-learning 5 competition 5 tensorflow 5 titanic-disaster 4 survival 4 neural-network 4 challenge 4 classification-algorithm 4 keras 4 eda 4 data-cleaning 3 prediction-model 3 survival-prediction 3 dataanalytics 3 classification-model 3 decision-tree 3 random-forest-classifier 3 mnist 3 decision-trees 3 titanickaggle 3 titanic-problem 3 svm 3 disaster 3 regression 3 random 2 knn-classification 2 cnn 2 pipeline 2 lstm 2 mlp 2 jupiter-notebook 2 feature-engineering 2 logisticregression 2 titanic-passenger-data 2 jupyterlab 2 learning 2 tflearn 2 ml-models 2 project 2 kaggle-dataset 2 dataset 2 titanic-data 2 science 2 iris 2 dataanalysis 2 kaggle-titanic-survival 2 passenger 2 clustering 2 matplotlib-pyplot 2 pyspark 2 movielens 2 passengers-survived 2 svm-classifier 2 plotly 2 binary-classification 2 predictive-modeling 2 hierarchical-clustering 1 kragle 1 bagging-pasting 1 cheatsheet 1