Control Theory Cookbook
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Open Source · Educational Resource
A growing reference that puts mathematical explanations, code, and learning resources alongside each other.
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View All TagsTitanic Kaggle Competition - ML Survival Prediction with Ensemble Methods
· 14 min read
Problem and Background
Titanic - Machine Learning from Disaster
Problem: Create a machine learning model to predict which passengers survived the Titanic disaster.
Background: According to the Kaggle competition "Titanic - Machine Learning from Disaster" description: "On April 15, 1912, during her maiden voyage, the widely considered 'unsinkable' RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren't enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew."
While there was an element of luck involved, certain groups of people were more likely to survive than others, such as women, children, and the upper-class.
Machine Learning Final Report Name: YANG GUANGZE Student ID: 20T1126N