Experiment 4-2

# GITHUB LINK: https://github.com/YBI-Foundation/Dataset/blob/main/Salary%20Data.csv

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.ensemble import IsolationForest
df=pd.read_csv('Salary Data.csv')
df.head(10)
sns.violinplot(df.Salary)
model = IsolationForest(n_estimators=50,max_samples='auto',contamination=float(0.1),max_features=1.0)
model.fit(df[['Salary']])
df['scores']=model.decision_function(df[['Salary']])
df['anomaly']=model.predict(df[['Salary']])
df.head(20)
anomaly=df.loc[df['anomaly']==-1]
anomaly_index=list(anomaly.index)
print(anomaly)