Course Assignments
Quiz 1:Practical Machine Learning (Data Science Specialization) Answers 2025
1. Question 1 Which of the following are components in building a machine learning algorithm? ✅ Statistical inference✅ Collecting data to answer the question✅ Training and test sets❌ Artificial intelligence❌ Machine learning Explanation:Machine learning uses statistical inference, data collection, and splitting into training/testing sets to build predictive models. “Artificial intelligence” and “machine learning” are broader… <a href="https://codeshala.io/platform/coursera/course/practical-machine-learningdata-science-specialization/assignment/quiz-1practical-machine-learning-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Quiz 1:Practical Machine Learning (Data Science Specialization) Answers 2025</span></a>
Quiz 2:Practical Machine Learning (Data Science Specialization) Answers 2025
1. Question 1 Which of the following are components in building a machine learning algorithm? ✅ Statistical inference✅ Collecting data to answer the question✅ Training and test sets❌ Artificial intelligence❌ Machine learning Explanation:Machine learning uses statistical inference, data collection, and splitting into training/testing sets to build predictive models. “Artificial intelligence” and “machine learning” are broader… <a href="https://codeshala.io/platform/coursera/course/practical-machine-learningdata-science-specialization/assignment/quiz-2practical-machine-learning-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Quiz 2:Practical Machine Learning (Data Science Specialization) Answers 2025</span></a>
Quiz 3:Practical Machine Learning (Data Science Specialization) Answers 2025
1. Question 1 CART model (segmentationOriginal data) – predictions for given variable values: ✅ a. PS, b. WS, c. PS, d. Not possible to predict❌ a. PS, b. Not possible to predict, c. PS, d. Not possible to predict❌ a. PS, b. WS, c. PS, d. WS❌ a. PS, b. PS, c. PS, d. Not… <a href="https://codeshala.io/platform/coursera/course/practical-machine-learningdata-science-specialization/assignment/quiz-3practical-machine-learning-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Quiz 3:Practical Machine Learning (Data Science Specialization) Answers 2025</span></a>
Quiz 4:Practical Machine Learning (Data Science Specialization) Answers 2025
1. Question 1 Train Random Forest (RF) and Boosted Tree (GBM) models on the vowel dataset (classification problem). ✅ RF Accuracy = 0.6082, GBM Accuracy = 0.5152, Agreement Accuracy = 0.6361❌ RF Accuracy = 0.9987, GBM Accuracy = 0.5152, Agreement Accuracy = 0.9985❌ RF Accuracy = 0.6082, GBM Accuracy = 0.5152, Agreement Accuracy = 0.5152❌… <a href="https://codeshala.io/platform/coursera/course/practical-machine-learningdata-science-specialization/assignment/quiz-4practical-machine-learning-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Quiz 4:Practical Machine Learning (Data Science Specialization) Answers 2025</span></a>
Course Project Prediction Quiz :Practical Machine Learning (Data Science Specialization) Answers 2025
It looks like you’ve pasted the structure of a prediction assignment (probably the Final Practical Quiz from the Coursera “Practical Machine Learning” course), where each question (1–20) corresponds to a prediction case labeled A–E. However, to give the correct answers (A, B, C, D, or E) for each case, I’ll need one of the following:… <a href="https://codeshala.io/platform/coursera/course/practical-machine-learningdata-science-specialization/assignment/course-project-prediction-quiz-practical-machine-learning-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Course Project Prediction Quiz :Practical Machine Learning (Data Science Specialization) Answers 2025</span></a>