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…

Infamous Titanic survial prediction competition on Kaggle

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

A demo of vertical federated learning on simple datasets

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks

This program consists of clean and polished Graphical User Interface (GUI) that interacts with 8 Machine Learning models and data visualization tools through the use of different Python libraries. The user can interact with the GUI through selecting which model to run on the testing data on, which then takes them to a screen displaying the predi…

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

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

API-First approach to make Machine Learning solution usable

Kaggle竞赛：预测泰坦尼克号中乘客的获救概率以及存活情况

Some useful examples of Deep Learning (.ipynb)

Testing different ML models on famous Titanic dataset from kaggle. (100% accuracy)

My take on the Kaggle Titanic Challenge, Accuracy: 0.80681

A machine learning model to predict the survivors

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

My implementation for Logistic Regression and applying it to different data sets.

A Machine Learning Model based on Logistic Regression that predicts the survival of passengers travelled in Titanic.

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.

Using Machine learning algorithm on the famous Titanic Disaster Dataset

: Visualization & Prediction