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Parth Nipun Dave ParthNipunDave

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ParthNipunDave / diabetes_dense.py
Last active June 9, 2021 09:25
model=Sequential()
model.add(Dense(64,input_dim=train_x.shape[1]))
model.add(Dense(64))
model.add(Dense(64))
model.add(Dense(64))
model.add(Dense(64,))
model.add(Dense(1,activation='sigmoid'))
model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['acc'])
model.summary()
@ParthNipunDave
ParthNipunDave / diabetes_random_forest_classifier.py
Created June 9, 2021 08:55
rfc=RandomForestClassifier(n_estimators=100000,max_depth=3,n_jobs=-1)
rfc.fit(train_x,train_y)
predict=rfc.predict(test_x)
print('Recall Score --> ',recall_score(test_y,predict))
print("Classification Report\n",classification_report(test_y,predict))
@ParthNipunDave
ParthNipunDave / diabetes_model_selection.py
Created June 9, 2021 07:22
smote=SMOTE()
train_x,test_x,train_y,test_y=train_test_split(data[cols],data['Outcome'],test_size=0.3,random_state=101)
print(train_x.shape,train_y.shape,test_x.shape,test_y.shape)
train_x,train_y=smote.fit_resample(train_x,train_y)
print(train_x.shape,train_y.shape,test_x.shape,test_y.shape)
@ParthNipunDave
ParthNipunDave / diabetes_corr.py
Last active June 9, 2021 07:18
sns.heatmap(data.corr(),annot=True,fmt='.2f')
x=data.corr()
cols=x[(x.values>0.2)&(x.index=='Outcome')]['Outcome'][:-1].index
print(cols)
@ParthNipunDave
ParthNipunDave / diabetes_outcome.py
Created June 9, 2021 07:12
sns.countplot(data=data,x='Outcome')
@ParthNipunDave
ParthNipunDave / diabetes_age.py
Created June 9, 2021 07:09
print('Number of unique values --> ',data['Age'].nunique())
sns.displot(data['Age'])
sns.boxplot(data=data,y='Age')
sns.boxplot(data=data,x='Outcome',y='Age')
@ParthNipunDave
ParthNipunDave / diabetes_bmi.py
Created June 9, 2021 07:03
print('Number of unique of values --> ',data['DiabetesPedigreeFunction'].nunique())
sns.displot(data['DiabetesPedigreeFunction'])
sns.boxplot(data=data,y='DiabetesPedigreeFunction')
sns.boxplot(data=data,x='Outcome',y='BMI')
@ParthNipunDave
ParthNipunDave / diabetes_bmi.py
Created June 9, 2021 06:57
print('Number of unique values --> ',data['BMI'].nunique())
sns.displot(data['BMI'])
sns.boxplot(data=data,y='BMI')
sns.boxplot(data=data,x='Outcome',y='BMI')
@ParthNipunDave
ParthNipunDave / diabetes_insulin.py
Created June 9, 2021 06:50
print('Number of unique values --> ',data['Insulin'].nunique())
sns.displot(data['Insulin'])
sns.boxplot(data=data,y='Insulin')
sns.boxplot(data=data,x='Outcome',y='Insulin')
@ParthNipunDave
ParthNipunDave / diabetes_skin_thickness.py
Created June 9, 2021 06:37
print('Number of unique values --> ',data['SkinThickness'].nunique())
sns.displot(data['SkinThickness'])
sns.boxplot(data=data,y='SkinThickness')
sns.boxplot(data=data,x='Outcome',y='SkinThickness')