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Update app.py
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app.py
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@@ -53,13 +53,9 @@ def model_fit(X_train,y_train):
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hgb = HistGradientBoostingRegressor()
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hgb.fit(X_train,y_train)
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return hgb
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model = model_fit(X_train,y_train)
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df = pd.get_dummies(df,drop_first=True)
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import streamlit as st
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def price(companyName,modelName,modelYear,locaiton,mileage,engineType,engineCapacity,color,assembly,bodyType,transmissionType,registrationStatus):
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hgb = HistGradientBoostingRegressor()
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hgb.fit(X_train,y_train)
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return hgb
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df,X_train,X_test,y_train,y_test = final_df(df)
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model = model_fit(X_train,y_train)
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import streamlit as st
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def price(companyName,modelName,modelYear,locaiton,mileage,engineType,engineCapacity,color,assembly,bodyType,transmissionType,registrationStatus):
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