ml_python

Some python codes for Andrew Ng's ML course

I use python to reproduce the class practices, which are meant to be written in MATLAB/Octave.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
figs		figs
sample_data		sample_data
LR_gradient_desc_multivar.py		LR_gradient_desc_multivar.py
LR_gradient_desc_univar.py		LR_gradient_desc_univar.py
LR_gradient_regularization.py		LR_gradient_regularization.py
README.md		README.md
logistic_conjugate_gradient.py		logistic_conjugate_gradient.py
logistic_cost_function.py		logistic_cost_function.py
logistic_gradient_contour_map.py		logistic_gradient_contour_map.py
logistic_gradient_decision_boundary.py		logistic_gradient_decision_boundary.py
logistic_gradient_desc.py		logistic_gradient_desc.py
logistic_multi_class.py		logistic_multi_class.py
logistic_regularization.py		logistic_regularization.py
neural_get_train_and_valid.py		neural_get_train_and_valid.py
neural_one_layer_digits.py		neural_one_layer_digits.py
neural_one_vs_all_pred.py		neural_one_vs_all_pred.py
neural_one_vs_all_training.py		neural_one_vs_all_training.py
neural_plot_digits.py		neural_plot_digits.py

Zicong-Huang/ml_python