Context
This dataframe describes applications for a Gold Digger position. According to each applicants's characteristics, can you create the best model to classify whether a candidate is hired or not ?
It is a good playground to harden your data science skills and try new models. Ideal to prepare interviews.
Content
This dataframe contains 20000 observations and 11 columns:
date: date of the application
age: age of the candidate
diplome: highest qualification diploma (bac, licence, master, doctorat)
specialite: minor of the diploma (geologie, forage, detective, archeologie,)
salaire: salary expectation
dispo: oui : directly available, non : not directly available
sexe: female (F) or male (M)
exp: years of relevant experience
cheveux: hair color (chatain, brun, blond, roux)
note: grade (out of 100) for gold digging exam
embauche: Has the candidate been hired ? (0 : no, 1 : yes)