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Material for course on data analysis and machine learning at LMU, September 2019 & September 2020

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data
data
 
 
develop
develop
 
 
figures
figures
 
 
.gitignore
.gitignore
 
 
.pre-commit-config.yaml
.pre-commit-config.yaml
 
 
AMS.ipynb
AMS.ipynb
 
 
CNNFoolingExercise.ipynb
CNNFoolingExercise.ipynb
 
 
CNNIntro.ipynb
CNNIntro.ipynb
 
 
CNNTopTagging.ipynb
CNNTopTagging.ipynb
 
 
CNNTopTaggingPreprocessing.ipynb
CNNTopTaggingPreprocessing.ipynb
 
 
DataRescaling.ipynb
DataRescaling.ipynb
 
 
DecisionTrees.ipynb
DecisionTrees.ipynb
 
 
Higgs-Gaussian.ipynb
Higgs-Gaussian.ipynb
 
 
HiggsChallenge-NN.ipynb
HiggsChallenge-NN.ipynb
 
 
HiggsChallenge-NN_DL.ipynb
HiggsChallenge-NN_DL.ipynb
 
 
HiggsChallenge.ipynb
HiggsChallenge.ipynb
 
 
KerasIntro.ipynb
KerasIntro.ipynb
 
 
MLExercises.ipynb
MLExercises.ipynb
 
 
MLIntro.ipynb
MLIntro.ipynb
 
 
MatplotlibIntro.ipynb
MatplotlibIntro.ipynb
 
 
NNFromScratchNumpy.ipynb
NNFromScratchNumpy.ipynb
 
 
NN_Activation.ipynb
NN_Activation.ipynb
 
 
NN_from_scratch_digits.ipynb
NN_from_scratch_digits.ipynb
 
 
NN_from_scratch_digits_dataset.ipynb
NN_from_scratch_digits_dataset.ipynb
 
 
NumpyIntro.ipynb
NumpyIntro.ipynb
 
 
PandasExercises.ipynb
PandasExercises.ipynb
 
 
PandasIntro.ipynb
PandasIntro.ipynb
 
 
PythonDA_ML.html
PythonDA_ML.html
 
 
PythonDA_ML.ipynb
PythonDA_ML.ipynb
 
 
README.md
README.md
 
 
ScilearnIntro.ipynb
ScilearnIntro.ipynb
 
 
ScilearnValidation.ipynb
ScilearnValidation.ipynb
 
 
ScipyExercises.ipynb
ScipyExercises.ipynb
 
 
ScipyIntro.ipynb
ScipyIntro.ipynb
 
 
ScipyPandasExercises.ipynb
ScipyPandasExercises.ipynb
 
 
TauRecoEffEval.ipynb
TauRecoEffEval.ipynb
 
 
TensorFlowIntro.ipynb
TensorFlowIntro.ipynb
 
 
TopTaggingClassicalML.ipynb
TopTaggingClassicalML.ipynb
 
 
ams.py
ams.py
 
 
course_settings.py
course_settings.py
 
 
knnExample.ipynb
knnExample.ipynb
 
 
nb_intro.ipynb
nb_intro.ipynb
 
 

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LMU_DA_ML

Material for the course on data analysis and machine learning at the Ludwig-Maximilians-Universität München (LMU Munich).

Start with PythonDA_ML.ipynb

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Material for course on data analysis and machine learning at LMU, September 2019 & September 2020

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