Einführung in Datenanalyse und maschinelles Lernen in der Physik
Beispiel-Notebooks
- 02_fit_exp_fit_iMinuit.ipynb
- 02_fit_fitGraph.ipynb
- 02_fit_iminuitFit.ipynb
- 02_fit_numpyFit.ipynb
- 02_fit_scikitFit.ipynb
- 03_ml_basics_activation.ipynb
- 03_ml_basics_display_Clothing.ipynb
- 03_ml_basics_display_HandWrt.ipynb
- 03_ml_basics_display_HorseOrHuman.ipynb
- 03_ml_basics_iris_softmax_regression.ipynb
- 03_ml_basics_log_regr_heart_disease.ipynb
- 03_ml_basics_logistic_regression.ipynb
- 03_ml_basics_minimizer.ipynb
- 03_ml_basics_minimizer_methods.ipynb
- 03_ml_basics_simple_neural_network.ipynb
- 03_ml_basics_tf_binary_classification_example.ipynb
- 03_ml_basics_tf_broadcasting.ipynb
- 03_ml_basics_tf_differentiate.ipynb
- 03_ml_basics_tf_mlp_mnist_digits.ipynb
- 04_decision_trees_critical_temp_regression.ipynb