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Classification & Interactive Dashboards Databases, Machine Learning Concepts, More Supervised Learning This unit starts off with querying (relational) databases using SQL and covers more ways of obtaining, cleaning, and maintaining data. We then introduce models used for classification and supervised learning including logistic regression and KNN. The following example illustrates the feature importance estimation via permutation importance based for classification models. import numpy as np import matplotlib.pyplot as plt from sklearn.svm import SVC from sklearn.model_selection import train_test_split from mlxtend.evaluate import feature_importance_permutation Generate a toy dataset statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.May 17, 2019 · Supervised Machine Learning is being used by many organizations to identify and solve business problems. The two types of algorithms commonly used are Classification and Regression. In the previous guide, Scikit Machine Learning, we learned how to build a classification algorithm with scikit-learn.