To make predictions for inputs in square meters, what intercept must you use?
This is correct, as it will take on large values for anomalous examples and smaller values for normal examples. Learn more about our cookies. We want to model “normal” examples, so we only use negative examples in training. ), Coursera: Machine Learning (Week 3) [Assignment Solution] - Andrew NG, Coursera: Machine Learning (Week 2) [Assignment Solution] - Andrew NG, Coursera: Machine Learning (Week 4) [Assignment Solution] - Andrew NG, Coursera: Machine Learning (Week 5) [Assignment Solution] - Andrew NG, Coursera: Machine Learning (Week 6) [Assignment Solution] - Andrew NG. I will try my best to answer it. Feel free to ask doubts in the comment section. The estimated intercept is -44850 and the estimated slope is 280.76. Click here to see more codes for Arduino Mega (ATMega 2560) and similar Family.
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If you find this helpful by any mean like, comment and share the post. Click here to see more codes for NodeMCU ESP8266 and similar Family. With a team of extremely dedicated and quality lecturers, coursera machine learning quiz answers will not only be a place to share knowledge but also to help students get inspired to explore and discover many creative ideas from themselves. Click here to see more codes for Raspberry Pi 3 and similar Family. Machine Learning Week 6 Quiz 1 (Advice for Applying Machine Learning) Stanford Coursera.
Quiz Answers, Assessments, Programming Assignments for the Linear Algebra course. In some other courses, no feedback is given. ( In some courses, when you click the "View Feedback" button after taking a quiz, you'll see some brief pieces of feedback on the wrong and right answers.
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