Machine Learing Algo Python Save
implement the machine learning algorithms by python for studying
Project README
Contents
Supervised Learning
neural_network.py
neural network algorithm including following components
layers: conv1d, conv2d, mean pool, max pool, drop out, batch normalization, rnn, flatten, dense, tanh, relu
loss: binary crossentropy, categorical crossentropy, mse, categorical_hinge
Classification
pla.py
perceptron algorithm
pocket.py
pocket algorithm
logistic_regression.py
logistic regression algorithm including gradient descent, newton
softmax_regression.py
softmax regression algorithm
learning_vector_quantization.py
learning vector quantization algorithm
knn.py
k-NearestNeighbor algorithm
gaussian_discriminant_analysis.py
gaussian discriminant analysis algorithm
svm.py
support vector machine algorithm including following components
kernel: linear, rbf
solver: smo, quadratic programming
discrete_adaboost.py
discrete adaboost algorithm
real_adaboost.py
real adaboost algorithm
gentle_adaboost.py
gentle adaboost algorithm
naive_bayesian_for_text.py
naive bayesian algorithm for text classification
decision_tree_id3.py
decision tree id3 algorithm
decision_tree_c45.py
decision tree c45 algorithm
Regression
linear_regression.py
linear regression algorithm including gradient descent, newton, equation
linear_regression_locally_weight.py
locally weight linear regression algorithm
collaborative_filtering.py
collaborative filtering algorithm
Classification and Regression
rbf_network.py
rbf network algorithm
decision_tree_cart.py
decision tree cart algorithm
random_forest.py
random_forest algorithm including bagging, random features, oob verification, feature selection
gbdt.py
gradient boost decision tree algorithm
Dimensionality Reduction
linear_discriminant_analysis.py
linear discriminant analysis algorithm with "eigen" solver
Unsupervised Learning
Clustering
k_means.py
k-means algorithm
k_means_plus.py
k-means++ algorithm
bisecting_kmeans.py
bisecting k-means algorithm
k_median.py
k-median algorithm
k_mediods.py
k-mediods algorithm
fuzzy_c_means.py
fuzzy c means algorithm
gaussian_mixed_model.py
gaussian mixed model algorithm
agnes.py
agnes clustering algorithm
diana.py
diana clustering algorithm
dbscan.py
dbscan clustering algorithm
spectral_clustering.py
spectral clustering algorithm
Dimensionality Reduction
pca.py
principal Component Analysis algorithm including whiten, zero-phase component analysis whiten, kernel pca
mltidimensional_scaling.py
mltidimensional scaling algorithm
locally_linear_embedding.py
locally linear embedding algorithm
abnormal detection
support_vector_data_description.py
support vector data description algorithm
isolate_forest.py
isolate forest algorithm
Others
ica.py
independent component analysis algorithm
Tools
image_preprocess.py
image preprocess algorithms including rgb2gray, histogram of oriented gradient
text_preprocess.py
text preprocess algorithms including tf-idf
distance.py
distance algorithms including euclidean distance, manhattan distance, chebyshev distance, mahalanobis distance, cosine distance
kernel.py
kernel function including linear, rbf
preprocess.py
preprocess algorithm including min-max scaler, z-score scaler, one-hot encoder, bagging
regularizer.py
regularizer algorithm including L1, L2, elastic-net
metrics.py
scores including accuracy, precision, recall, f-score, R2 score, confusion matrix, pr curve, roc curve, auc, silhouette coefficient, 2d feature scatter, learning curve, information value
optimizer.py
optimizer algorithm including following components
gradient descent: momentum，nesterov, adagrad，rmsprop，adam
weights_initializer.py
weights initialization algorithm
Open Source Agenda is not affiliated with "Machine Learing Algo Python" Project. README Source: zhaoyichanghong/machine_learing_algo_python
Stars
44
Open Issues
1
Last Commit
4 years ago
Repository
Tags
Adaboost
Collaborative Filtering
Decision Tree
Deep Learning
Gaussian Discriminant Analysis
Gaussian Mixture Models
Gbdt
Isolation Forest
K Nearest Neighbor
Kmeans
Linear Discriminant Analysis
Linear Regression
Logistic Regression
Machine Learning
Neural Network
Principal Component Analysis
Rbf Network
Spectral Clustering
Support Vector Machines
Tf Idf
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