





#  https://classroom.google.com/u/0/c/MTA1MjE1NDkxNTg2/a/MTQyNzE3MjM1OTM0/details

# https://archive.ics.uci.edu/ml/datasets/glass+identification


# import packages
import pandas as pd 

# import data
df = pd.read_csv('mission_svm/glass.data',header=None)


#=====================================
# preprocessing
#====================================

# normalizar

# gerar graficos de frequencia e boxplot

# teste de correlacao

# teste KS entre variavel continua e classes

#===================
# experimento SVM
#==================
ac8fe3170511895e79a43ec42f7045664e74cfc3
<mask token>

<mask token>
df = pd.read_csv('mission_svm/glass.data', header=None)

import pandas as pd
df = pd.read_csv('mission_svm/glass.data', header=None)







#  https://classroom.google.com/u/0/c/MTA1MjE1NDkxNTg2/a/MTQyNzE3MjM1OTM0/details

# https://archive.ics.uci.edu/ml/datasets/glass+identification


# import packages
import pandas as pd 

# import data
df = pd.read_csv('mission_svm/glass.data',header=None)


#=====================================
# preprocessing
#====================================

# normalizar

# gerar graficos de frequencia e boxplot

# teste de correlacao

# teste KS entre variavel continua e classes

#===================
# experimento SVM
#==================