Create Python code to make machine learning versions such as support vector machines, conclusion tree classifiers, and k-nearest neighbors
Look at and contrast linear classification procedures such as multiclass prediction, support vector machines, and logistic regression
Wrangle data, graph plots, and generate regression products to forecast housing price ranges with data science Python libraries
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Examine which analytic model is suitable among the predictive, descriptive, and classification designs utilised to investigate a scenario study.