GitHub - KimiKreil/Applied-ML: Code for the course Applied Machine Learning 2021

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Code for the course Applied Machine Learning 2021

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Small Project		Small Project
Classification_KimiKreilgaard_MLPClassifier.txt		Classification_KimiKreilgaard_MLPClassifier.txt
Classification_KimiKreilgaard_MLPClassifier_VariableList.txt		Classification_KimiKreilgaard_MLPClassifier_VariableList.txt
Classification_KimiKreilgaard_XGBoostClassifier.txt		Classification_KimiKreilgaard_XGBoostClassifier.txt
Classification_KimiKreilgaard_XGBoostClassifier_VariableList.txt		Classification_KimiKreilgaard_XGBoostClassifier_VariableList.txt
Clustering.ipynb		Clustering.ipynb
Clustering_KMeans.ipynb		Clustering_KMeans.ipynb
Clustering_KimiKreilgaard_tSNE_KMeans_attemptedSpectralClustering.txt		Clustering_KimiKreilgaard_tSNE_KMeans_attemptedSpectralClustering.txt
Clustering_KimiKreilgaard_tSNE_KMeans_attemptedSpectralClustering_VariableList.txt		Clustering_KimiKreilgaard_tSNE_KMeans_attemptedSpectralClustering_VariableList.txt
Clustering_old_version_Spectral.ipynb		Clustering_old_version_Spectral.ipynb
Description_KimiKreilgaard.rtf		Description_KimiKreilgaard.rtf
ReadingData.ipynb		ReadingData.ipynb
Regression_KimiKreilgaard_XGBoostRegressor.txt		Regression_KimiKreilgaard_XGBoostRegressor.txt
Regression_KimiKreilgaard_XGBoostRegressor_VariableList.txt		Regression_KimiKreilgaard_XGBoostRegressor_VariableList.txt
SP_MLPClassifier_classification.ipynb		SP_MLPClassifier_classification.ipynb
SP_XGBOOST_classification.ipynb		SP_XGBOOST_classification.ipynb
SP_XGBOOST_regression.ipynb		SP_XGBOOST_regression.ipynb
SolutionReader.ipynb		SolutionReader.ipynb
Solutions.zip		Solutions.zip
Test_emb		Test_emb
kfold.png		kfold.png