machine learning automation
# pip install ModelAuto
# Sample code
from ModelAuto.Datapreprocess import Preprocessing
from ModelAuto.FeatureSelection import backwardElimination
from ModelAuto.ModelSelection import Regress_model
DATA = pd.read_csv('Path/to/file.csv')
''' 1. Data Preprocessing '''
X_train , X_test = Preprocessing( X_train, X_test , Multi =True)
''' 2. Select best Features '''
Features = backwardElimination( x_train , y_train )
''' 3. Select best Model '''
x_train, x_test, y_train, y_test = train_test_split( Features , y_train, test_size=0.2, random_state=1 )
Model = Regress_model( x_train,x_test,y_train,y_test )
''' 4. Make Predicatoins '''
Predictions = Model.predict('Test Data')
# https://github.com/Sudhanshu1304/ModelAuto