using python and Juypter notebook

2. Remove Anomalies a) Remove outliers using Isolation Forest 3. Create Learning Curves for both algorithms (Logical Regression and Nave Bayes). a) Please use recall for your scoring (i.e. scoring='recall_weighted') b) Logistical Regression (solver='lbfgs', class_weight='balanced',_max_iter=1000, random_state =100 )