Topic: titanic Goto Github
Some thing interesting about titanic
Some thing interesting about titanic
titanic,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).
User: abonady
titanic,Predict survival on the Titanic on a Quantum Computer
User: adelshb
titanic,Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
User: amberkakkar01
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"
User: anirbanc3
titanic,🚢 Association and Pattern Recognition Algorithms on data from Titanic survivors.
User: arhcoder
Home Page: https://www.kaggle.com/competitions/titanic
titanic,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.
User: arunsamuel08
Home Page: https://www.kaggle.com/arunsajisamuel/titanic-eda-and-predictions
titanic,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
User: ashishpatel26
Home Page: https://www.kaggle.com/ashishpatel26/titanic-passenger-survival-analysis
titanic,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.
User: ayse-duman
titanic,My workup of the Kaggle Titanic tutorial using R.
User: clarelgibson
titanic,Titanic -applying T-test -exercises-DataCleaning,DataEplorations,Hypotesis,basic text procesing
User: daodavid
titanic,Deploying Titanic with a Custom BYOC Container to Multiple Platforms!
User: dkhundley
titanic,Predicting survivors in the titanic using Machine Learning.
User: eloyekunle
titanic,Sopravviverai alla sciagura del Titanic? Un Classificatore Binario basato su Neural Network
Organization: extraordy
titanic,This is a binary classification problem for the titanic dataset.
User: florianwoelki
titanic,to challenge Prediction Competition of Titanic: Machine Learning from Disaster
User: gkzz
titanic,Official Member Solution Repository !
Organization: gvp-ai-club
Home Page: https://gvp-ai-club.github.io
titanic,Kaggle Competition - Titanic: Machine Learning from Disaster (Top 8%)
User: huspark
Home Page: https://www.kaggle.com/c/titanic
titanic,Análise de associação do dataset: Surivival of passengers on the Titanic
User: itsmeale
Home Page: https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/Titanic.html
titanic,model build, training, inference in SageMaker pipeline
User: jesamkim
titanic,Kaggle Titanic Prediction Challenge
User: joshidipesh12
titanic,Auriez vous survécu au naufrage du Titanic ?
User: kamomille
titanic,Neural Network ConsoleでKaggleのタイタニックを学習するサンプルです。前処理(Jupyter Notebook)、学習・モデル構造自動探索(Neural Network Console)、ONNX推論(Jupyter Notebook)を含みます
User: kazuhito00
titanic,Task 2 of the Prodigy infotech Data science internship
User: kindo-tk
titanic,Essential machine learning algorithms, concepts, examples and visualizations. Popular machine learning algorithms from scratch. Applications of machine learning.
User: kplachkov
titanic,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.
User: kumod007
titanic,Machine Learning / Python with Titanic Dataset
User: laetitia-deken
titanic,Titanic Passengers - Laravel Lumin REST API mirred from
User: lusitaniae
Home Page: https://gitlab.com/lusitaniae/API-Exercise
titanic,Entry for the Titanic: Machine Learning from Disaster competition on Kaggle.
User: makeyourownmaker
titanic,My notebook that a sent to Kaggle Titanic challenge.
User: marcelosabadini
titanic,I used expert mode of TensorFlow to solve some problems
User: matin-ghorbani
titanic,Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.
User: melihgulum
titanic,Some useful examples of Deep Learning (.ipynb)
User: mickey0521
titanic,Implementation of Neural Network from scratch on Titanic Dataset.
User: raiabhishek
titanic,Titanic: Machine Learning from Disaster with Keras
User: reis-r
titanic,This repository is on different types of data, types of missing values and how to handle missing value
User: rushi21-kesh
titanic,This repository contains a gentle introduction to machine learning algorithms with hands on practical examples
User: sahibzadasalman
titanic,find things in google maps
User: samuelfullerthomas
Home Page: https://samthomas.io/argo/
titanic,A central place for my datasets
User: steveschneider2
Home Page: https://github.com/steveSchneider2/data
titanic,This project describes the visualization of the facts of the Royal British Ship 'Titanic'.
User: sumitbehal
titanic,Maximum entropy (MaxEnt) classifier
User: tonyzeng2016
titanic,Notebooks from my blog. meterdatascience.weebly.com
User: tshepomk
titanic,Titanic dataset is used to perform Pandas operations
User: ttariqaziz
titanic,Data Analysis Solution for Titanic passenger data.
User: venky14
titanic,Titanic.nu - A website I've developed for friends of mine who are running an art collective and a gallery. It's based on this Netlify template: https://github.com/netlify-templates/one-click-hugo-cms
User: wusty
Home Page: http://titanic.nu/
titanic,This repository contains my work during the Himmah data science Bootcamp.
User: zarahshibli
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