Python/machine_learning at master · smart2pet/Python

Name		Name	Last commit message	Last commit date
parent directory ..
forecasting		forecasting
local_weighted_learning		local_weighted_learning
lstm		lstm
__init__.py		__init__.py
astar.py		astar.py
data_transformations.py		data_transformations.py
decision_tree.py		decision_tree.py
gaussian_naive_bayes.py		gaussian_naive_bayes.py
gradient_boosting_regressor.py		gradient_boosting_regressor.py
gradient_descent.py		gradient_descent.py
k_means_clust.py		k_means_clust.py
k_nearest_neighbours.py		k_nearest_neighbours.py
knn_sklearn.py		knn_sklearn.py
linear_discriminant_analysis.py		linear_discriminant_analysis.py
linear_regression.py		linear_regression.py
logistic_regression.py		logistic_regression.py
multilayer_perceptron_classifier.py		multilayer_perceptron_classifier.py
polymonial_regression.py		polymonial_regression.py
random_forest_classifier.py		random_forest_classifier.py
random_forest_regressor.py		random_forest_regressor.py
scoring_functions.py		scoring_functions.py
self_organizing_map.py		self_organizing_map.py
sequential_minimum_optimization.py		sequential_minimum_optimization.py
similarity_search.py		similarity_search.py
support_vector_machines.py		support_vector_machines.py
word_frequency_functions.py		word_frequency_functions.py
xgboost_classifier.py		xgboost_classifier.py
xgboost_regressor.py		xgboost_regressor.py

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