Parth Nipun Dave ParthNipunDave
ParthNipunDave
/ diabetes_dense.py
Last active
June 9, 2021 09:25
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| 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
/ diabetes_random_forest_classifier.py
Created
June 9, 2021 08:55
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| 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
/ diabetes_model_selection.py
Created
June 9, 2021 07:22
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| 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
/ diabetes_corr.py
Last active
June 9, 2021 07:18
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| 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
/ diabetes_outcome.py
Created
June 9, 2021 07:12
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| sns.countplot(data=data,x='Outcome') |
ParthNipunDave
/ diabetes_age.py
Created
June 9, 2021 07:09
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| 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
/ diabetes_bmi.py
Created
June 9, 2021 07:03
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| 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
/ diabetes_bmi.py
Created
June 9, 2021 06:57
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| 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
/ diabetes_insulin.py
Created
June 9, 2021 06:50
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| 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
/ diabetes_skin_thickness.py
Created
June 9, 2021 06:37
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| 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') |
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