The topic is hiring prediction, from data representating job's applications. The dataset represents the job's applications and the features are:

• date: date of application,
• hair: color of hair,
• age,
• experience: number of years of experience,
• salary: salary expectation,
• gender,
• diploma,
• speciality,
• note: technical test note,
• availability,
• hiring: target variable.

The goal is to predict the hiring variable which is either 'yes' or 'no'. Consequently the problem is turned into a binary classification task. Moreover, the data are not correlated and unbalanced.

Outline:

• 1. Exploratory Data Analysis
• 2. Statistical analysis
• 3. Model selection
• 4. Conclusion

Python modules:

• mydata_stats.py
• mydata_processing.py
• mymodeling.py