Handling Imbalanced Classes In Logistic Regression Preliminaries /* Load libraries */ from sklearn.linear_model import LogisticRegression from sklearn import datasets from sklearn.preprocessing import StandardScaler import numpy as np Load Iris Flower Dataset /* Load data */ iris = datasets.load_iris() X = iris.data y = iris.target Make Classes Imbalanced /* Make class highly imbalanced by removing first … Continue reading Machine Learning for Beginners in Python: How to Handle Imbalanced Classes In Logistic Regression