LMU_DA_ML_19

Material for course on data analysis and machine learning at LMU, Apr 2019

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
data		data
figures		figures
.gitignore		.gitignore
AMS.ipynb		AMS.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
MLExercises.ipynb		MLExercises.ipynb
MLIntro.ipynb		MLIntro.ipynb
MatplotlibIntro.ipynb		MatplotlibIntro.ipynb
NN_Activation.ipynb		NN_Activation.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
ScipySolutions.ipynb		ScipySolutions.ipynb
ams.py		ams.py
knnExample.ipynb		knnExample.ipynb
nb_intro.ipynb		nb_intro.ipynb