Logistic Regression in ML: Titanic

Tutoriel énormément dynamique!!!

// déja vu: https://jasmintrem.wordpress.com/2024/04/19/06-machine-learning-introduction/

• Survived
• pclass: First, second or third class
• sibsp: spouses or sibling (frères, soeurs)
• parch: nbr of parents
• fare: ticket price
• embarked: Cherbourg, Queens Town Port, South Hampton Port
• DATA: numerical / categories

• Data lost: age, deck
• Analyse: 2x boolean, 2 x categories, 2 x float, 4 x integer, 6 objects
• 15 columns, 891 entries

Clean up datas: embarked, class, alive

EDA: Explore Data Analysis

High Correlation: Alcool / Quality, Sulfur/Dioxyde, Acid citric/Density