titanic-survival-exploration
There are 0 repository under titanic-survival-exploration topic.
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 65amberkakkar01 / Titanic-Survival-Prediction
Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
Language:Jupyter Notebook 24tamanna18 / Titanic-Survival-prediction
Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female
Language:Jupyter Notebook 10e-paj / Machine-Learning-Projects-in-R
This repository contains all the projects/case studies done using Machine Learning methods. This is in conjunction with another repository. Difference being that R would be the main software used here
Language:R 2m0-k1 / Titanic-Survival-Exploration
Machine Learning from Titanic Disaster
data-analysisdata-visualizationdecision-treedecision-tree-algorithmdecision-tree-classifierjupyter-notebookknn-classificationknn-classifiermachine-learningmachine-learning-algorithmsnaive-bayes-classificationnaive-bayes-classifiersupport-vector-machinesupport-vector-machinessvm-classifiertitanic-data-analyticstitanic-datasettitanic-kaggletitanic-survival-explorationtitanic-survival-predictionLanguage:Jupyter Notebook 2Arkantos-13 / Titanic_Machine_Learning_From_Disaster
My approach in one of the most classic data analysis projects ever
Language:Jupyter Notebook 1saheelahmed2 / Titanic-EDA
Exploratory Data Analysis on Titanic Survivor Dataset provided by Kaggle.
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Atharva-Parkar / Titanic-Survival-Analysis-Using-R-Programming
Analyzing demographic factors with R to uncover patterns influencing passenger survival rates on the Titanic.
Language:R 0daBlaqSuit / Data-Analytics-Python
Data Analysis on the RMS Titanic data set using Python
Language:HTML 0franklaercio / titanic_machine_learning
In this code we will predict survived for the tragic accident Titanic. It's a Kaggle competition.
Language:Jupyter Notebook 0iamRVel / Kaggle
Exploring data sets from Kaggle administrator and sharing my codes with public groups
Language:Jupyter Notebook 0kshitizrohilla / titanic-survival-prediction-using-naive-bayes-classifier-algorithm
This project aims to predict the survival of passengers aboard the Titanic using the Naive Bayes classifier algorithm. The dataset used in this project contains information about Titanic passengers, such as their age, gender, passenger class, and other relevant features.
titanic-data-analyticstitanic-dataanalysistitanic-datasettitanic-dataset-predictionstitanic-datasetstitanic-kaggletitanic-machine-learningtitanic-survivaltitanic-survival-explorationtitanic-survival-predictionnaive-bayesnaive-bayes-algorithmnaive-bayes-classificationnaive-bayes-classifierclassification-algorithmnaive-bayes-implementationnaive-bayes-tutorialLanguage:Jupyter Notebook 0Nana-322 / Titanic-Project-
Through an analysis of a dataset on the titanic, I seek to dig deeper into this tragedy by answering the broad question: What factors helped someone survive the sinking of the titanic?
Language:Jupyter Notebook 0SoundaryaMiranam / Survival_prediction_Titanic-disaster
Data analysis and Machine learning on titanic data
Language:Python 0SUDIPA9002 / ASIP
Data Science internship at Asterisc Technocrat Pvt. Ltd. Task - Billioniaire Analysis, Covid - 19 Data Analysis, Titanic Survival Prediction
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Aiza-D / EDA-of-Titanic.csv-
Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.
gouravaich / titanic-survival-exploration-decision-trees
Explore Titanic survival data by implementing a decision tree in sci-kit-learn
Language:Jupyter Notebookhilmiugurpolat / titanic-dataset-analysis
titanic dataset
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illusionic / Udacity-Titanic_Survival_Exploration-Solution
This repository provides a complete solution to Udacity's Machine Learning Project "Titanic_Survival_Exploration".
Language:HTMLinspectordanno / titanic
How did passenger class affect survival on the Titanic?
Language:HTMLjasper7zlh / Titanic-Survival-Exploration
Titanic Survival Data EDA and Simple Predictions Based on EDA
Language:Jupyter NotebookTitanic Survival Exploration with Decision Tree
Language:Jupyter Notebookjeff-daniels / Udacity-Data-Analyst-Nanodegree
Contains projects needed to complete Udacity's Data Analyst Nanodegree Program
Language:HTMLNikhilManglik / Titanic-Data-Analytics
Analyze the Titanic dataset to extract meaningful results.
Language:Jupyter Notebookoch234 / kaggle-titanic-prediction
This is a project which predict the possibility of a passenger in the Titanic ship surviving or not. Information can be found on the website listed
Language:Jupyter NotebookPatrikDurdevic / Titanic-Machine-Learning-from-Disaster
Using Deep Learning to create a model that predicts which passengers survived the Titanic shipwreck.
Language:Jupyter NotebookSonNNguyen / Titanic-Survival-insight-a-kaggle-try
So I decide to work through the insight of Titanic tragedy with a glance at the Data (famously) provided on Kaggle.
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