3- Machine learning, code for identifying the outliers in jupyter notebook
Here’s an example Python code for identifying outliers in a dataset using machine learning in Jupyter Notebook: pythonCopy codeimport pandas as pd import numpy as np from sklearn.ensemble import IsolationForest # load the dataset data = pd.read_csv(“path/to/dataset.csv”) # extract the columns of interest columns_of_interest = [“col1”, “col2”, “col3”] X = data[columns_of_interest].values # create an instance of the Isolation Forest algorithm […]