solve machine learning python Question 3: Visualizing multiple…

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Question Answered step-by-step solve machine learning python Question 3: Visualizing multiple… solve machine learning pythonQuestion 3: Visualizing multiple decision regions over time¶ Here is the function for visualizing decision regions:from matplotlib.colors import ListedColormapdef plot_decision_regions(X, y, classifier, resolution=0.02): # setup marker generator and color map markers = (‘s’, ‘x’, ‘o’, ‘^’, ‘v’) colors = (‘red’, ‘blue’, ‘lightgreen’, ‘gray’, ‘cyan’) cmap = ListedColormap(colors[:len(np.unique(y))]) # plot the decision surface x1_min, x1_max = X[:, 0].min() – 1, X[:, 0].max() + 1 x2_min, x2_max = X[:, 1].min() – 1, X[:, 1].max() + 1 xx1, xx2 = np.meshgrid(np.arange(x1_min, x1_max, resolution), np.arange(x2_min, x2_max, resolution)) Z = classifier.predict(np.array([xx1.ravel(), xx2.ravel()]).T) Z = Z.reshape(xx1.shape) plt.contourf(xx1, xx2, Z, alpha=0.3, cmap=cmap) plt.xlim(xx1.min(), xx1.max()) plt.ylim(xx2.min(), xx2.max()) # plot class examples for idx, cl in enumerate(np.unique(y)): plt.scatter(x=X[y == cl, 0], y=X[y == cl, 1], alpha=0.8, c=colors[idx], marker=markers[idx], label=cl, edgecolor=’black’)plot_decision_regions(X, y, classifier=ppn)plt.xlabel(‘sepal length [cm]’)plt.ylabel(‘petal length [cm]’)plt.legend(loc=’upper left’)# plt.savefig(‘images/02_08.png’, dpi=300)plt.show()  Using the above, give code that plots the decision regions for the first 5 epochs. Use learning rate = 0.01 and random seed = 1 when applicable.    Computer Science Engineering & Technology Python Programming CS 675 Share QuestionEmailCopy link Comments (0)

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Question Answered step-by-step In this Discussion, you examine scenarios that feature workflow issuesrelated to the HITECH Act and its meaningful use objectives. You identify specific workflow gaps and consider how you would conduct a gap analysis to gather more information about the gaps. This Discussion allows you to explore workflow gaps and meaningful use objectives to prepare you for completing the Course Project, which is also centered on workflow gaps and their relevance to meaningful use objectives.Scenario 1:Stephanie is a nurse practitioner at Central Care Hospital who is often involved in administering prescribed medications for patients in the general care ward. When a physician sees a patient, he or she uses the hospital's EHR system to document findings and recommendations for treatment, but submits medication and drug orders by faxing prescriptions to the hospital's pharmacy. Before Stephanie administers the medications from the pharmacy, she must cross-check the medication and dosage with the physician's notes and patient information in the EHR system. In doing so, Stephanie often identifies problems with the medication the physician prescribed; patients are sometimes prescribed a medication to which they have a known allergy or one that conflicts with another medication they are currently taking. In addition, the pharmacy sometimes sends the wrong medication or the wrong dosage. Furthermore, for patients who have been transferred from other parts of the hospital such as the intensive care unit or the maternity ward, Stephanie often encounters duplicate drug orders or incorrect medications sent from the pharmacy. Post an explanation of the most prominent workflow gap in the scenario you selected, including who is responsible for the gap and the outcomes or consequences. Explain how you would conduct a gap analysis to gather further information, and determine strategies for addressing the gap and provide the steps in the selection of the best strategy.   Health Science Science Nursing NURS 6421 Share QuestionEmailCopy link Comments (0)