Outlier detection using DBSCAN Clustering:

Importing Libraries:

Loading dataset:

 
Printing first 10 rows:

Statistically describing the dataset:

Visualizing outliers by boxplot:

Visualizing outliers by seaborn boxplot:

Visualizing outliers by hist plot:

Histogram with density plot:

Importing DBSCAN from sklearn library:

Fitting the model and Setting the value of epsilon and Number of samples:

Visualizing the outliers by clustering:

Printing outliers from the dataset: