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https://tinyurl.com/Allinonebhai http://tinyurl.com/tybscds pip install numpy ,pandas ,matplotlib ,scikit-learn pip install statsmodels  Logistic Regression import pandas as pd from sklearn.datasets import load_iris from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score, precision_score, recall_score, classification_report, confusion_matrix iris = load_iris() X = iris.data y = (iris.target == 0).astype(int)   X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) logistic_model = LogisticRegression() logistic_model.fit(X_train, y_train) y_pred_logistic = logistic_model.predict(X_test) print("Logistic Regression Metrics") print("Accuracy:", accuracy_score(y_test, y_pred_logistic)) print("Precision:", precision_score(y_test, y_pred_logistic)) print("Recall:", recall_score(y_test, y_pred_logistic)) print("\nConfusion M...