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01_intro_ex_1a_sol.ipynb
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01_intro_ex_1b_sol.ipynb
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01_intro_ex_2_sol.ipynb
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01_intro_python.md
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02_fit_ex_3_sol.ipynb
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02_fit_ex_4_sol.ipynb
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02_fit_ex_5_sol.ipynb
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02_fit_exp_fit_iMinuit.ipynb
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02_fit_fitGraph.ipynb
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02_fit_histFit.ipynb
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02_fit_iminuitFit.ipynb
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02_fit_intro.md
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02_fit_numpyFit.ipynb
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02_fit_scikitFit.ipynb
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03_ml_basics_activation.ipynb
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03_ml_basics_display_Clothing.ipynb
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03_ml_basics_display_HandWrt.ipynb
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03_ml_basics_display_HorseOrHuman.ipynb
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03_ml_basics_ex_1_magic.ipynb
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03_ml_basics_ex_1_sol_magic.ipynb
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03_ml_basics_ex_2_display_Cifar10_Greyscale.ipynb
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03_ml_basics_ex_2_sol_mnist_softmax_regression.ipynb
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03_ml_basics_ex_4_mlp_clothing.ipynb
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03_ml_basics_iris_softmax_regression.ipynb
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03_ml_basics_log_regr_heart_disease-preprocessing.ipynb
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03_ml_basics_log_regr_heart_disease.ipynb
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03_ml_basics_logistic_regression.ipynb
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03_ml_basics_minimizer_methods.ipynb
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03_ml_basics_minimizer.ipynb
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03_ml_basics_simple_neural_network_exercise_solution.ipynb
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03_ml_basics_simple_neural_network.ipynb
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03_ml_basics_tf_binary_classification_example.ipynb
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03_ml_basics_tf_broadcasting.ipynb
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03_ml_basics_tf_differentiate.ipynb
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03_ml_basics_tf_mlp_mnist_digits.ipynb
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03_ml_intro.odp
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03_ml_intro.pdf
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04_decision_trees_critical_temp_regression.ipynb
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04_decision_trees_ex_1_compare_tree_classifiers.ipynb
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04_decision_trees_ex_1_sol_compare_tree_classifiers.ipynb
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04_decision_trees_ex_2_magic_xgboost_and_random_forest.ipynb
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05_neural_networks_ex_1_hyperparameter_optimization.ipynb
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05_neural_networks_ex_2_sol_mnist_keras_apply.ipynb
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05_neural_networks_ex_2_sol_mnist_keras_train.ipynb
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05_neural_networks_tf_CNN_4D_clothing.ipynb
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05_neural_networks_tf_CNN_mnist_digits.ipynb
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D0Mass.txt
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FitTestData.txt
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heart.csv
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horse.npy
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introduction.md
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ml_basics_iris_softmax_regression.ipynb
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