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aaron 2fce3281a3 feature: add example jupyter notebooks
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1.1 Feature Engineering - Einfuehrung.ipynb
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1.2 Feature Engineering - Exploration.ipynb
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1.3 Feature Engineering - Transformation.ipynb
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1.4 Feature Engineering - Konstruktion.ipynb
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1.5 Feature Engineering - Selektion.ipynb
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1.6 Feature Engineering - Implementation.ipynb
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1.7 Feature Engineering - Nachtraege.ipynb
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2.1 Klassifikation - Instanzbasierte Modelle.ipynb
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2.2 Klassifikation - Regelbasierte Modelle.ipynb
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2.3 Klassifikation - Mathematische Modelle.ipynb
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2.4 Klassifikation - Neuronale Netze.ipynb
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2.5 Klassifikation - Multiklass Klassifikatoren.ipynb
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3.1 Regression - Einfuehrung.ipynb
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3.2 Regression - Klassisch.ipynb
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3.3 Regression - ML Methoden.ipynb
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3.4 Regression - Modellvergleiche.ipynb
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4.1 Validierung und mehr - Sampling und Resampling.ipynb
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4.2 Validierung und mehr - Validierungstechniken.ipynb
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4.3 Validierung und mehr - Grid Search und Random Search.ipynb
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4.4 Validierung und mehr - Performance Metriken.ipynb
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4.5 Validierung und mehr - Unbalancierte Daten.ipynb
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5 Deployment und Abschluss.ipynb
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5.5 Deployment und Abschluss - pycaret.ipynb
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9 Nachtraege Allgemein 20240622.ipynb
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9 Nachtraege Allgemein 20240627.ipynb
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9 Nachtraege Allgemein.ipynb
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9 Weitere Visualisierungen.ipynb
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bfh_cas_pml.py
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extra_1.2.4.2_basis_plots_with_seaborn.ipynb
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extra_2.2.1.2_get_dt_split_positions.ipynb
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extra_3.2.1.2_linear_regression_with_matrix_operations.ipynb
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extra_3.2.1.4_linear_regression_in_data_analytics.ipynb
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extra_3.3.4_weitere_ensemble_regressoren.ipynb
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extra_3.3.5.2_variants_of_SVR.ipynb
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extra_3.3.6.2_variants_of_MLPRegressor.ipynb
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