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…

Official Member Solution Repository !

机器学习项目实战

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

Predict survival on the Titanic on a Quantum Computer

Spark ML Tutorial and Examples for Beginners

This repository is on different types of data, types of missing values and how to handle missing value

Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.

Data Analysis Solution for Titanic passenger data.

Some useful examples of Deep Learning (.ipynb)

Implementation of Neural Network from scratch on Titanic Dataset.

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"

find things in google maps

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

Repository for building a suitable prediction model for the Titanic Survival Dataset

Entry for the Titanic: Machine Learning from Disaster competition on Kaggle.

Predicting survivors in the titanic using Machine Learning.

an end-to-end data science project on the titatic machine learning disaster dataset

Essential machine learning algorithms, concepts, examples and visualizations. Popular machine learning algorithms from scratch. Applications of machine learning.