Assignment proposition for Foundation of Machine Learning courses at CentraleSupélec.

Proposed by Robin Schwob and Paul Asquin.
This assignment is based on the Kaggle contest : www.kaggle.com/c/titanic

It's possible to run each model independently bu using the test implemented in test.py. Run the following instructions to execute specific models.
You can also test the load_data function by running:

python3 test.py -m test_load_data

And you can test the load_data_panda function with:

python3 test.py -m test_load_data_panda

Test the basic classifier given

python3 test.py -m test_basic_classifier

Testing Decision Tree for different depths (best result with D=5)

python3 test.py -m test_decision_tree

Adaboost Test for Different values of D (best with D=2)

python3 test.py -m test_ada_boot

NN Test with sgd, different constant lr, 1 hidden layer of varying size

python3 test.py -m test_NN_1

NN test for higher hidden layer sizes (from 200 to 400)

python3 test.py -m test_NN_2

python3 test.py -m test_LDA

python3 test.py -m test_SVM

python3 test.py -m test_KNN

python3 test.py -m test_random_forest