Topic: titanic-dataset Goto Github
Some thing interesting about titanic-dataset
Some thing interesting about titanic-dataset
titanic-dataset,Complete tutorial of Titanic Survival Prediction competition on Kaggle.
User: abdullahabid10
titanic-dataset,I prepare and build a logistic regression model using Python with this notebook on the Titanic dataset. Tags: Python, Logistic Regression, Titanic dataset, Data prep-rocessing, Machine learning.
User: aibysalman
titanic-dataset,Titanic Survivor Prediction
User: akashscientist
titanic-dataset,This repository was just for my practice. Here, I have performed explanatory data analysis on the famous titanic dataset from kaggle.
User: alinasahoo
titanic-dataset,Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
User: amberkakkar01
titanic-dataset,titanic_dataset from Kaggle where we need to predict whether the passengers were survived or not.
User: ankurlimbashia
titanic-dataset,
User: anniepawl
Home Page: https://anniepawl.github.io/titanic-data-visualizations/
titanic-dataset,Using Machine learning algorithm on the famous Titanic Disaster Dataset
User: anshumank399
titanic-dataset,Solving Titanic problem using TensorFlow Estimators
User: arxyzan
titanic-dataset,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-dataset,Titanic datasets exercises
User: aysegokceyrek
titanic-dataset,Udacity Data Analyst Nanodegree Project : Create a Tableau Story - Titanic Data
User: bcko
titanic-dataset,Introduction to AI and ML Course Project @NanyangTechnologicalUniversity
User: berkaybarlas
titanic-dataset,CatBoost tutorials repository
Organization: catboost
titanic-dataset,Implemented Logistic Regression for Titanic Dataset for Classifying whether or not a person survived the sinking of the Titanic.
User: chirag-shilwant
titanic-dataset,Digging for Data :pick:
User: elahe-dastan
titanic-dataset,Data analysis and data visualizations for different data sets
User: estherslabbert
titanic-dataset,Sopravviverai alla sciagura del Titanic? Un Classificatore Binario basato su Neural Network
Organization: extraordy
titanic-dataset,This is a binary classification problem for the titanic dataset.
User: florianwoelki
titanic-dataset,Repository for Analysis of the Titanic problem on Kaggle.com
User: hm82
titanic-dataset,SPPU BE COMP LP3 Codes - Machine Learning (ML) and Information and Cyber Security (ICS)
User: iamrohitsuthar
titanic-dataset,Testing different ML models on famous Titanic dataset from kaggle. (100% accuracy)
User: ivanmrsulja
titanic-dataset,Predicting the survival of passengers on RMS Titanic using information about the passengers.
User: jawad3838
titanic-dataset,An analysis and deployment of a machine learning algorithm on the Titanic Dataset from Kaggle.com.
User: kacox
titanic-dataset,Data visualization tool for the Titanic dataset developed in Unity3D for the course Interaction in Mixed Reality Spaces at the University of Konstanz.
User: kliments
titanic-dataset,Machine Learning / Python with Titanic Dataset
User: laetitia-deken
titanic-dataset,Clustering Titanic dataset using k-means algorithm from scratch
User: llseedll
titanic-dataset,This notebook is my first attempt at using PySpark for EDA and Machine Learning models.
User: luuisotorres
Home Page: https://www.kaggle.com/code/lusfernandotorres/titanic-ml-competition-with-pyspark
titanic-dataset,This repository contains notebooks that are trained on The Titanic Dataset with ML ensemble methods like Random Forest, Decision trees and XGBoost.
User: m-prerna
titanic-dataset,Machine Learning from Titanic Disaster
User: m0-k1
titanic-dataset,Implemented logistic regression from scratch to train on sign language digits dataset and titanic dataset using one-vs-one and one-vs-all algorithms
User: mansi-k
titanic-dataset,Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
User: mgobeaalcoba
Home Page: https://colab.research.google.com/drive/17oOlyaizuNb_DiDqynnv-Ui2W64L_1y_#scrollTo=YNGsbPcP3nQU
titanic-dataset,this repository contains two projects : the first it s applying ML algorithm (Logistic regression) for classification on Titanic dataset From scratch and with use Sickit-Learn and the second for analyze this data : Understanding data - data preprocessing
User: mouhtaramsoufiane
titanic-dataset,Data preprocessing and feature engineering using Titanic Dataset.
User: nadinejackson1
titanic-dataset,Repository for Data Science and Visualization
User: nahidebrahimian
titanic-dataset,Titanic Survival Prediction using Logistic Regression
User: nano-bot01
titanic-dataset,Some algorithms of machine learning like Regression, Cluster, Deep Learning, and much more.
User: neemiasbsilva
titanic-dataset,In this notebook, you will see all the data visualization of titanic dataset
User: nisar-pakhtoon
titanic-dataset,The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning
User: prateekagrawaliiit
titanic-dataset,This dataset has passenger information who boarded the Titanic along with other information like survival status, Class, Fare, and other variables. The unfortunate event which was occurred on 15 April 1912, the Titanic sank after colliding with an iceberg, aboard 2224 peoples. Titanic passenger Data Analysis consist: Data Exploration and Preparation, Data Representation and Transformation, Data Visualization and Presentation
User: rajrohan
titanic-dataset,Solution to titanic competition on kaggle
User: ramakrishnan-21
Home Page: https://www.kaggle.com
titanic-dataset,Estudo de Machine Learning usando dados reais do Titanic. Aula Ciencia de Dados do curso Carrefour Data Engineer.
User: rickleite
titanic-dataset,Submission for Titanic: Machine Learning from Disaster - Kaggle. https://www.kaggle.com/c/titanic
User: rimjimrazdan
titanic-dataset,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.
User: ruban2205
titanic-dataset,Exploratory Data Analysis on Titanic Survivor Dataset provided by Kaggle.
User: saheelahmed2
titanic-dataset,Implementing Classification Model on the given Titanic Dataset
User: sameetasadullah
titanic-dataset,This analysis is about predicting the survival of a person onboard Titanic
User: saxenaprerit
titanic-dataset,This repository is for the work I did in machine learning using Python.
User: shradha27
titanic-dataset,Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female
User: tamanna18
titanic-dataset,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.
User: wburlat
Home Page: https://wendelburlat.vercel.app/learnmore5.html
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