├── .idea ├── Kaggle_Competition.iml ├── inspectionProfiles │ └── profiles_settings.xml ├── misc.xml ├── modules.xml ├── vcs.xml └── workspace.xml ├── DigitRecongise_CNN └── CNN_DigitRecongise.py ├── DonorsChoose.org_Competition ├── DonorsChoose_Main.py ├── figure.py └── script.py ├── HomeCreditDefaultRisk └── DeepLearning_method.py ├── HousePices ├── README.md ├── __init__.py ├── deeplearning_method.py ├── main.py └── picture │ └── stacking_model.jpg ├── NLP ├── LDA_sentimental.py ├── Part1_TF-IDF │ ├── README.md │ ├── data │ │ ├── computer │ │ │ ├── 1.xml │ │ │ ├── 10.xml │ │ │ ├── 11.xml │ │ │ ├── 12.xml │ │ │ ├── 13.xml │ │ │ ├── 14.xml │ │ │ ├── 15.xml │ │ │ ├── 16.xml │ │ │ ├── 17.xml │ │ │ ├── 18.xml │ │ │ ├── 19.xml │ │ │ ├── 2.xml │ │ │ ├── 20.xml │ │ │ ├── 21.xml │ │ │ ├── 22.xml │ │ │ ├── 23.xml │ │ │ ├── 24.xml │ │ │ ├── 25.xml │ │ │ ├── 26.xml │ │ │ ├── 27.xml │ │ │ ├── 28.xml │ │ │ ├── 29.xml │ │ │ ├── 3.xml │ │ │ ├── 30.xml │ │ │ ├── 31.xml │ │ │ ├── 32.xml │ │ │ ├── 33.xml │ │ │ ├── 34.xml │ │ │ ├── 35.xml │ │ │ ├── 36.xml │ │ │ ├── 37.xml │ │ │ ├── 4.xml │ │ │ ├── 5.xml │ │ │ ├── 6.xml │ │ │ ├── 7.xml │ │ │ ├── 8.xml │ │ │ └── 9.xml │ │ ├── pro_keyword │ │ │ ├── 1.txt │ │ │ ├── 10.txt │ │ │ ├── 11.txt │ │ │ ├── 12.txt │ │ │ ├── 13.txt │ │ │ ├── 14.txt │ │ │ ├── 15.txt │ │ │ ├── 16.txt │ │ │ ├── 17.txt │ │ │ ├── 18.txt │ │ │ ├── 2.txt │ │ │ ├── 21.txt │ │ │ ├── 22.txt │ │ │ ├── 23.txt │ │ │ ├── 24.txt │ │ │ ├── 25.txt │ │ │ ├── 26.txt │ │ │ ├── 27.txt │ │ │ ├── 28.txt │ │ │ ├── 29.txt │ │ │ ├── 30.txt │ │ │ ├── 31.txt │ │ │ ├── 32.txt │ │ │ ├── 33.txt │ │ │ ├── 35.txt │ │ │ ├── 36.txt │ │ │ ├── 37.txt │ │ │ ├── 38.txt │ │ │ ├── 39.txt │ │ │ ├── 4.txt │ │ │ ├── 40.txt │ │ │ ├── 42.txt │ │ │ ├── 5.txt │ │ │ ├── 6.txt │ │ │ ├── 7.txt │ │ │ ├── 8.txt │ │ │ └── 9.txt │ │ └── title_and_abs │ │ │ ├── 1.txt │ │ │ ├── 10.txt │ │ │ ├── 11.txt │ │ │ ├── 12.txt │ │ │ ├── 13.txt │ │ │ ├── 14.txt │ │ │ ├── 15.txt │ │ │ ├── 16.txt │ │ │ ├── 17.txt │ │ │ ├── 18.txt │ │ │ ├── 2.txt │ │ │ ├── 21.txt │ │ │ ├── 22.txt │ │ │ ├── 23.txt │ │ │ ├── 24.txt │ │ │ ├── 25.txt │ │ │ ├── 26.txt │ │ │ ├── 4.txt │ │ │ ├── 5.txt │ │ │ ├── 6.txt │ │ │ ├── 7.txt │ │ │ ├── 8.txt │ │ │ └── 9.txt │ ├── example.py │ ├── src │ │ ├── GrobalParament.py │ │ ├── GrobalParament.pyc │ │ ├── get_TF_IDF.py │ │ ├── get_data.py │ │ ├── utils.py │ │ └── utils.pyc │ └── test.py ├── README.md ├── __init__.py ├── jieba │ ├── TF_IDF.py │ ├── Text_Rank.py │ ├── __init__.py │ └── jieba_demo.py ├── result.png ├── tf_idf │ └── tf_idf.py └── 抓取数据到分词案例.py ├── README.md ├── TalkingData_Competition ├── TalkingdataKaggle.py ├── Talkingdata_Figure.py ├── lightGBM_TalkingData.py ├── pandas_1M.py └── talking_data.py ├── Tensorflow ├── CNN │ ├── 7.1TF_deal_picture.py │ ├── 7.2图像预处理完整案例.py │ ├── 7.3队列操作.py │ ├── 7.4多线程操作.py │ ├── 8.1循环神经网络前向传播.py │ ├── 8.2LSTM前向传播.py │ ├── 8.4预测正弦函数.py │ ├── Convolutional_example.py │ ├── Example_TF_TFslim.py │ ├── PTB数据的batching方法.py │ ├── PTB数据转换为单词编号.py │ ├── PTB数据集预处理.py │ ├── PTB语言模型.py │ ├── cat.jpeg │ ├── cat.jpg │ ├── ptb.test │ ├── ptb.train │ ├── ptb.valid │ ├── ptb.vocab │ ├── split_flowerdata.py │ └── 深层循环神经网络.py ├── Estimator │ └── Estimator_全连接神经网络.py ├── ExponentialMovingAverage.py ├── Keras │ ├── Keras_LeNet5.py │ ├── log │ │ ├── checkpoint │ │ ├── eval │ │ │ └── events.out.tfevents.1525490421.liudongdeMacBook-Pro.local │ │ ├── events.out.tfevents.1525490369.liudongdeMacBook-Pro.local │ │ ├── events.out.tfevents.1525499215.liudongdeMacBook-Pro.local │ │ ├── graph.pbtxt │ │ ├── model.ckpt-1.data-00000-of-00001 │ │ ├── model.ckpt-1.index │ │ ├── model.ckpt-1.meta │ │ ├── model.ckpt-10000.data-00000-of-00001 │ │ ├── model.ckpt-10000.index │ │ ├── model.ckpt-10000.meta │ │ ├── model.ckpt-10001.data-00000-of-00001 │ │ ├── model.ckpt-10001.index │ │ ├── model.ckpt-10001.meta │ │ ├── model.ckpt-20000.data-00000-of-00001 │ │ ├── model.ckpt-20000.index │ │ └── model.ckpt-20000.meta │ └── 情感分析模型.py ├── L2_5Layer_NeuralNetwork.py ├── LSTM_example.py ├── LossFunction_NeuralNetwork.py ├── MNIST │ ├── mnist_eval.py │ ├── mnist_inference.py │ └── mnist_train.py ├── Save_tf_Graph.py ├── Tensorboard_可视化 │ ├── TensorBoard简单例子.py │ └── __init__.py ├── Tensorflow_turtorial │ ├── .ipynb_checkpoints │ │ ├── 01-Tensorflow入门-checkpoint.ipynb │ │ ├── 02-Tensorflow-基本运算-checkpoint.ipynb │ │ ├── 03-Tensorflow-变量-checkpoint.ipynb │ │ ├── 04-Linear_regression-checkpoint.ipynb │ │ ├── 05-Linear_SVM-checkpoint.ipynb │ │ └── 06-LogisticRegression-checkpoint.ipynb │ ├── 01-Tensorflow入门.ipynb │ ├── 02-Tensorflow-基本运算.ipynb │ ├── 03-Tensorflow-变量.ipynb │ ├── 04-Linear_regression.ipynb │ ├── 05-Linear_SVM.ipynb │ ├── 06-LogisticRegression.ipynb │ └── MNIST_data │ │ ├── t10k-images-idx3-ubyte.gz │ │ ├── t10k-labels-idx1-ubyte.gz │ │ ├── train-images-idx3-ubyte.gz │ │ └── train-labels-idx1-ubyte.gz ├── anna.txt ├── checkpoints │ ├── checkpoint │ ├── i200_1512.ckpt.data-00000-of-00001 │ ├── i200_1512.ckpt.index │ └── i200_1512.ckpt.meta ├── mnist_readData.py ├── neural_network.py ├── placeholder_network.py ├── tensorflow学习笔记.md ├── tflow.py └── twoClassify_neuralNetwork.py ├── Tianchi_Competition ├── Alimama │ ├── BPNN.py │ ├── __init__.py │ ├── __pycache__ │ │ ├── BPNN.cpython-36.pyc │ │ └── __init__.cpython-36.pyc │ ├── data_figure.py │ └── main.py ├── Zhengqi_beginner │ └── model_train.py ├── __init__.py └── __pycache__ │ └── __init__.cpython-36.pyc ├── Titanic_Competition ├── titanic.py └── train.csv ├── XGBoost保存和加载模型 └── _config.yml /.idea/Kaggle_Competition.iml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/1mrliu/AI_Learning_Competition/HEAD/.idea/Kaggle_Competition.iml -------------------------------------------------------------------------------- /.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 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