├── Chapter01 ├── Fig01.png ├── Fig02.png ├── Fig03.png ├── Fig04.png ├── Fig05.png ├── Fig06.png ├── Readme.md ├── matrix_multiplication.ipynb └── matrix_multiplication_keras.ipynb ├── Chapter02 ├── Hdf5_with_PyTables.ipynb ├── NoSQL with Python.ipynb ├── OpenPyXL_example.ipynb ├── Pandas_xlsx_example.ipynb ├── Readme.md ├── SQL with Python.ipynb ├── Txt_files.ipynb └── read_csv_file.ipynb ├── Chapter03 ├── ElectricalPowerOutputPredictionUsingDecisionTrees.ipynb ├── ElectricalPowerOutputPredictionUsingRegression.ipynb ├── Folds5x2_pp.xlsx ├── Images │ ├── B09828_03_01.png │ ├── B09828_03_02.png │ ├── B09828_03_03.png │ ├── B09828_03_04.png │ ├── B09828_03_05.png │ ├── B09828_03_06.png │ ├── B09828_03_07.png │ ├── B09828_03_08.png │ ├── B09828_03_09.png │ ├── B09828_03_10.png │ ├── B09828_03_11.png │ └── Readme.md ├── LogisticRegressor.py ├── Sigmoid_function.ipynb ├── Wine_quality_using_DecisionTrees.ipynb ├── Wine_quality_using_Ensemble_learning.ipynb ├── Wine_quality_using_GaussianNB.ipynb ├── Wine_quality_using_SVM-with_GridSearch.ipynb ├── Wine_quality_using_SVM.ipynb ├── Wine_quality_using_logistic_regressor.ipynb ├── readme.md └── winequality-red.csv ├── Chapter04 ├── Folds5x2_pp.xlsx ├── LeNet_for_HandrwittenDigitsRecognition.ipynb ├── MLP_classification.ipynb ├── MLP_regression.ipynb ├── Readme.md ├── activation_functions.ipynb ├── images │ ├── B09828_04_01.png │ ├── B09828_04_02.png │ ├── B09828_04_03.png │ ├── B09828_04_04.png │ ├── B09828_04_05.png │ ├── B09828_04_06.png │ ├── B09828_04_07.png │ ├── B09828_04_08.png │ ├── B09828_04_09.png │ ├── B09828_04_10.png │ ├── B09828_04_12.png │ ├── B09828_04_13.png │ ├── B09828_04_14.png │ ├── B09828_04_15.png │ ├── B09828_04_16.png │ ├── B09828_04_17.png │ ├── B09828_04_18.png │ ├── B09828_04_19.png │ ├── B09828_04_20.png │ ├── B09828_04_21.png │ ├── B09828_04_22.png │ ├── B09828_04_23.png │ └── B09828_04_24.png ├── single_neuron_tf.ipynb └── winequality-red.csv ├── Chapter05 ├── Folds5x2_pp.xlsx ├── Genetic CNN.ipynb ├── Genetic_RNN.ipynb ├── GuessTheWord.ipynb ├── Images │ ├── B09828_05_01.png │ ├── B09828_05_02.png │ ├── B09828_05_03.png │ ├── B09828_05_04.png │ ├── B09828_05_05.png │ ├── B09828_05_06.png │ ├── B09828_05_07.png │ ├── B09828_05_08.png │ └── B09828_05_09.png ├── Optimization_surface_convex.ipynb ├── Optimization_surface_non-convex.ipynb ├── Readme.md └── dag.py ├── Chapter06 ├── DQN.ipynb ├── Images │ ├── B09828_06_01.png │ ├── B09828_06_02.png │ ├── B09828_06_03.png │ ├── B09828_06_04.png │ ├── B09828_06_05.png │ ├── B09828_06_06.png │ ├── B09828_06_07.png │ ├── B09828_06_08.png │ ├── B09828_06_09.png │ ├── B09828_06_10.png │ ├── B09828_06_11.png │ ├── B09828_06_12.png │ ├── B09828_06_13.png │ ├── B09828_06_14.png │ └── Readme.md ├── OpenAI_practice.ipynb ├── Policy Gradients.ipynb ├── Readme.md ├── Taxi_drop-off-NN.ipynb └── Taxi_drop-off.ipynb ├── Chapter07 ├── DCGAN_CelebA.ipynb ├── Images │ ├── B09828_07_01.png │ ├── B09828_07_02.png │ ├── B09828_07_03.png │ ├── B09828_07_04.png │ ├── B09828_07_05.png │ ├── B09828_07_06.png │ ├── B09828_07_07.png │ ├── B09828_07_08.png │ ├── B09828_07_09.png │ ├── B09828_07_10.png │ ├── B09828_07_11.png │ ├── B09828_07_12.png │ └── Readme.md ├── Readme.md ├── Vanilla_GAN.ipynb ├── VariationalAutoEncoders_MNIST.ipynb └── loader_celebA.py ├── Chapter08 ├── Boston_Price_MLlib.ipynb ├── Images │ ├── B09828_08_01.png │ ├── B09828_08_01a.png │ ├── B09828_08_02.png │ ├── B09828_08_03.png │ ├── B09828_08_04.png │ ├── B09828_08_05.png │ ├── B09828_08_06.png │ ├── B09828_08_07.png │ ├── B09828_08_08.png │ ├── B09828_08_09.png │ ├── B09828_08_10.png │ ├── B09828_08_11.png │ ├── B09828_08_12.png │ ├── B09828_08_13.png │ ├── B09828_08_14.png │ ├── B09828_08_15.png │ ├── B09828_08_16.png │ ├── B09828_08_17.png │ └── B09828_08_18.png ├── Readme.md ├── Transfer_learning_Sparkdl.ipynb ├── Wine_Classification_MLlib.ipynb ├── boston_price_h2o.ipynb └── wine_classification_h2o.ipynb ├── Chapter09 ├── Heart_Disease_Prediction.ipynb ├── Human_activity_recognition_using_accelerometer.ipynb ├── Hypoglycemia Prediction.ipynb ├── Images │ ├── B09828_13_01.png │ ├── B09828_13_02.png │ ├── B09828_13_03.png │ ├── B09828_13_04.png │ ├── B09828_13_05.png │ ├── B09828_13_06.png │ ├── B09828_13_07.png │ ├── B09828_13_08.png │ ├── B09828_13_09.png │ └── Readme.md └── Readme.md ├── Chapter10 ├── B09828_14_01.png ├── B09828_14_02.png ├── B09828_14_03.png ├── B09828_14_04.png ├── B09828_14_05.png ├── B09828_14_06.png ├── B09828_14_07.png ├── B09828_14_08.png ├── Electrical_Load_Forecasting.ipynb ├── Predictive_Maintenance_using_LSTM.ipynb └── Readme.md ├── Chapter11 ├── B09828_15_01.png ├── B09828_15_02.png ├── B09828_15_03.png ├── B09828_15_04.png ├── B09828_15_05.png ├── SF_crime_category_detection.ipynb └── readme.md ├── Chapter12 ├── B09828_09_01.png ├── B09828_09_02.png ├── B09828_09_03.png ├── B09828_09_04.png ├── B09828_09_05.png ├── B09828_09_06.png ├── B09828_09_07.png ├── B09828_09_08.png 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