Machine Learning with Python (IBM Data Analyst Professional Certificate)

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

1️⃣ Question 1 Which describes a file with plain text, rows, and columns? ❌ Key–value text ❌ Comma-separated array ❌ Excel spreadsheet ✅ A text file that saves data in tables Explanation:A plain text table (e.g., .txt or .csv) is stored as rows/columns. 2️⃣ Question 2 Python library for email spam classification? ❌ Fast array… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-applied-data-science-specialization/assignment/graded-quiz-introduction-to-machine-learning-machine-learning-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark">Graded Quiz: Introduction to Machine Learning :Machine Learning with Python (IBM Data Analyst Professional Certificate) Answers 2025</a>

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

1️⃣ Question 1 A company wants to forecast CO₂ emissions based on multiple variables. Which regression should they use? ✅ Multiple regression ❌ Logistic regression ❌ Simple regression ❌ Polynomial regression Explanation:Multiple regression handles more than one independent variable (engine size, cylinders, fuel consumption). 2️⃣ Question 2 When is simple regression appropriate? ❌ Predicting rainfall… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-applied-data-science-specialization/assignment/graded-quiz-linear-and-logistic-regression-machine-learning-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark">Graded Quiz: Linear and Logistic Regression :Machine Learning with Python (IBM Data Analyst Professional Certificate) Answers 2025</a>

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

1️⃣ Question 1 A telecom company predicts service cancellations (a classification task). Which model should they use? ❌ Decision trees ❌ Neural networks ❌ Naïve Bayes ❌ K-nearest neighbors Correct Answer:✅ All of these can be used — but the intended answer is Naïve Bayes. Explanation:All four models can perform classification, but for churn prediction… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-applied-data-science-specialization/assignment/graded-quiz-building-supervised-learning-models-machine-learning-with-python-applied-data-science-specialization-answers/" rel="bookmark">Graded Quiz: Building Supervised Learning Models :Machine Learning with Python (IBM Data Analyst Professional Certificate) Answers 2025</a>

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

1️⃣ Question 1 Why run an unsupervised model when no diagnoses are available? ❌ Rank patients by admission time ❌ Compress features into one index ❌ Assign diagnosis codes ✅ To uncover natural patient groups that share similar vital sign patterns Explanation:Unsupervised learning finds patterns without labels, perfect when no diagnosis labels exist. 2️⃣ Question… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-applied-data-science-specialization/assignment/graded-quiz-building-unsupervised-learning-models-machine-learning-with-python-applied-data-science-specialization-answers-answers-2025/" rel="bookmark">Graded Quiz: Building Unsupervised Learning Models :Machine Learning with Python (IBM Data Analyst Professional Certificate) Answers Answers 2025</a>

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

1️⃣ Question 1 In medical diagnosis, avoiding missed true positives is critical. Which metric matters most? ✅ Recall ❌ Accuracy ❌ F1 Score ❌ Precision Explanation:Recall measures how many actual positive cases you successfully identify, making it essential when missing a true positive is dangerous. 2️⃣ Question 2 Which metric is the square root of… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-applied-data-science-specialization/assignment/graded-quiz-evaluating-and-validating-machine-learning-models-machine-learning-with-python-applied-data-science-specialization-answers-answers-2025/" rel="bookmark">Graded Quiz: Evaluating and Validating Machine Learning Models :Machine Learning with Python (IBM Data Analyst Professional Certificate)Answers Answers 2025</a>

Final Exam :Machine Learning with Python (IBM Data Analyst Professional Certificate) Answers 2025

1️⃣ Question 1 SVM with binary decisions extended to 3 classes: ❌ Combining supervised + unsupervised ❌ One classifier per class (one-vs-rest) ❌ Single classifier ✅ One classifier per pair of classes (one-vs-one) Explanation:SVM commonly uses one-vs-one for multi-class classification. 2️⃣ Question 2 Why use median instead of mean for skewed salary data? ❌ Minimizes… <a href="https://codeshala.io/platform/coursera/course/machine-learning-with-python-applied-data-science-specialization/assignment/machine-learning-with-python-applied-data-science-specialization-answers-answe/" rel="bookmark">Final Exam :Machine Learning with Python (IBM Data Analyst Professional Certificate) Answers 2025</a>