WebMay 18, 2024 · Solving “Titanic: Machine Learning from Disaster” using Neural Networks and Tensorflow Jack saying to Rose to use Tensorflow =) The “Titanic: Machine Learning from Disaster” is a classical... Web2 days ago · Data visualization tool for the Titanic dataset developed in Unity3D for the course Interaction in Mixed Reality Spaces at the University of Konstanz. unity3d data …
titanic-dataset · GitHub Topics · GitHub
WebContribute to luabud/titanic development by creating an account on GitHub. Data Wrangler demo. Contribute to luabud/titanic development by creating an account on GitHub. ... Solutions For. Enterprise Teams Startups Education By Solution. CI/CD & Automation DevOps DevSecOps Case Studies ... WebNov 5, 2024 · Kaggle Titanic: Machine Learning model (top 7%) This K aggle competition is all about predicting the survival or the death of a given passenger based on the features … django with mongodb
Random Forest on Titanic Dataset ⛵. by Carlos Raul Morales
WebMay 7, 2024 · 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. WebSep 10, 2016 · The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. WebMay 24, 2024 · In order to download the ready-to-use Titanic Competition Python environment, you will need to create an ActiveState Platform account. Just use your GitHub credentials or your email address to register. Signing up is easy and it unlocks the ActiveState Platform’s many benefits for you! django with cosmos db