Machine Learning with Python (IBM AI Engineering Professional Certificate)

Graded Quiz: Introduction to Machine Learning :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Bread → Butter pattern. Which ML technique? ❌ Classification ❌ Regression ❌ Clustering ✅ Association technique Explanation:Association rule mining (like Apriori) is used for market basket analysis. 2. Question 2 Correct machine learning lifecycle workflow? ❌ Prepare data → Design UI → Train model → Collect feedback ✅ Define problem → Collect… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-introduction-to-machine-learning-machine-learning-with-python-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Introduction to Machine Learning :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Linear and Logistic Regression :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Forecasting CO₂ emissions using multiple input variables: ✅ Multiple regression ❌ Logistic regression ❌ Simple regression ❌ Polynomial regression Explanation:Multiple regression is used when predicting a continuous output using multiple independent variables. 2. Question 2 When is simple regression appropriate? ✅ Predicting annual rainfall based on average temperature. ❌ Customer segmentation ❌… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-linear-and-logistic-regression-machine-learning-with-python-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Linear and Logistic Regression :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Building Supervised Learning Models :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Telecom predicts service cancellations → classification problem. Which model? ❌ Decision trees ❌ Neural networks ❌ Naïve Bayes ✅ K-nearest neighbors Explanation:All models can be used, but KNN is the intended answer here because it is commonly introduced as a simple, effective classification model based on past behavior similarity. 2. Question 2… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-building-supervised-learning-models-machine-learning-with-python-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Building Supervised Learning Models :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Building Unsupervised Learning Models :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Why run an unsupervised model first with no diagnosis labels? ❌ Rank patients by admission time ❌ Compress features into one index ❌ Assign diagnosis codes automatically ✅ To uncover natural patient groups that share similar vital sign patterns Explanation:Unsupervised learning finds hidden structures when no labels exist — perfect for grouping… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-building-unsupervised-learning-models-machine-learning-with-python-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Building Unsupervised Learning Models :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Evaluating and Validating Machine Learning Models :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 In medical diagnosis, which metric is most important? ✅ Recall ❌ Accuracy ❌ F1 Score ❌ Precision Explanation:Recall measures how many actual positive cases were correctly detected.In healthcare, missing a true positive can be dangerous, so recall is critical. 2. Question 2 Which regression metric is the square root of MSE? ❌… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-evaluating-and-validating-machine-learning-models-machine-learning-with-python-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Evaluating and Validating Machine Learning Models :Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025</a>

Final Exam:Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 SVM multi-class classification strategy? ❌ Combine supervised + unsupervised ❌ One classifier per class ❌ Single combined classifier ✅ One classifier per pair of classes (One-vs-One) Explanation:Binary SVMs → use One-vs-One for multi-class problems. 2. Question 2 Why use median at leaf nodes with skewed salary data? ❌ Minimizes MSE ✅ Reduces… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-ibm-ai-engineering-professional-certificate/assignment/final-exammachine-learning-with-python-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Final Exam:Machine Learning with Python (IBM AI Engineering Professional Certificate) Answers 2025</a>