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Project: ml_code (GitHub Link)

• ml_code-master
  • nlp
    • nltk
      • 4_classify.py
      • 1_basic.py
      • 3_corpus.py
      • 2_book.py
  • RL
    • q-learning.py
  • LICENSE
  • number_recognization
    • ref
    • num_clf.py
    • test_data
    • num_clf_cnn.py
    • img_proc.py
  • opencv
    • ex01.py
    • data
  • basic_algorithm
    • regression_tree
      • regTree.py
    • ann
      • simple_nn.py
      • bpann.py
    • logistic_regression
      • logRegression.py
      • tmp.py
      • data_helper.py
      • train.py
      • logistic_regression.py
    • bayes
      • bayes.py
    • clustering
      • k-means.py
    • apriori
      • apriori.py
    • gradient_descent
      • simple_gradient_descent.py
      • CostFunc_GD.py
    • decision_tree
      • dt_sk.py
      • tree.txt
      • myTree.py
    • liner_regression
      • regression.py
      • train.py
      • liner_regression.py
    • knn
      • train.py
      • knn.py
    • pca
      • pca.py
    • svd
      • svd.py
  • sklearn
    • 1_Supervised_learning
      • Decision_Tree.py
      • Generalized_Linear_Models.py
      • Ensemble_Methods.py
      • Naive_Bayes.py
      • Support_Vector_Machines.py
  • README.md
  • keras
    • t1.py
    • data
      • testSet.txt
  • tensorflow
    • 2_session.py
    • 5_simple_nn.py
    • 8_mnist_classification.py
    • 9_dropout.py
    • 11_lstm_classification.py
    • 1_simple_regression.py
    • 6_display_learning_process.py
    • 10_cnn_mnist.py
    • 3_variable.py
    • 12_lstm_regression.py
    • 7_tensor_board.py
    • 13_saver.py
    • 4_placeholder.py
  • .gitignore

ml_code

A repository for recording machine learning code, including basic ml algorithms by using python (numpy). Also some very useful codes of scikit-learn and tensorflow.

1 basic algorithms practice

• knn
• liner regression
• gradient descent demo
• logistic regression
• decision tree
• regression tree
• bayes classifier
• neural network
• clustering: k-means
• PCA
• SVD
• aprior

2 sklearn practice

sklearn practice

3 tensorflow practice

simple tensorflow practice (13 steps)

4 some practical cases

• number recognization by cnn
• text classification by cnn
• cnn classification (dog vs cat)