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

Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".

Introductory Kaggle competition

kaggle machine learning with spark

My Solutions to Machine Learning competitions on Kaggle, Analytics Vidhya etc

Predicting the survival of passengers on RMS Titanic using information about the passengers.

Learn Logistic Regression and implement by Java， also used to solve Kaggle-Titanic predict。

My take on the Kaggle Titanic Challenge, Accuracy: 0.80681

This is collection of My Data Analysis and Python Leaning

Using Machine learning algorithm on the famous Titanic Disaster Dataset

EDA,Feature Engineering and Modelling for classical Titanic Problem

Titanic kaggle comp, Spam Ham (Regressors and classifiers)

Titanic: Machine Learning from Disaster https://www.kaggle.com/c/titanic

R exercises (2016)

This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨‍🎓🤘

Data Analysis Solution for Titanic passenger data.

Reference for "Don't get lost in a forest" post: a guide to tree based modeling in R

Predicting the survival of the passenger

learn data science

This repo makes use of different machine learning regression algorithms to predict the survivals of the titanic disaster.

Machine Learning from Titanic Disaster

This notebook contains my submission of Titanic submission challenge on Kaggle. Feel free to suggest improvements.

🚢 Entry for titanic Kraggle Constest

All kaggle competition related code

Data Analysis and Predictive Analysis of Algorithms on the Titanic Dataset

Ames Housing price Prediction, SAT_ACT statistical analysis,Reddit engagement using natural Language processing TF-IDF, Titanic survival predictions