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 150…

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

Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female

Machine Learning from Titanic Disaster

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

Kaggle Competition Question

Exploratory Data Analysis on Titanic Survivor Dataset provided by Kaggle.

This project focuses on Exploratory Data Analysis (EDA) to identify the key determinants that influenced survival during the infamous Titanic accident.

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

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

Explore Titanic survival data by implementing a decision tree in sci-kit-learn

Using Deep Learning to create a model that predicts which passengers survived the Titanic shipwreck.

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?

How did passenger class affect survival on the Titanic?

Analyze the Titanic dataset to extract meaningful results.

Titanic Survival Data EDA and Simple Predictions Based on EDA

Data analysis and Machine learning on titanic data

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