Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the image solutions cant be viewed as part of a gist). 2nd question has stupid options which dont make much sense without knowing formula. For example, given training data with tumor size and its category, which represents feature and label respectively. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization. I’m not sure I’d ever be programming in Octave after this course, but learning Octave just so that I could complete this course … I did the homeworks in python/numpy/scipy in ipython notebooks so they're easy to view. Thanks for the response.But simply Not possible. Analysis and comments about Assignment 2 from Capstone Project of Coursera Data Science Course. 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Week 1: Simple Linear Regression: Describe the input (features) and output (real-valued predictions) of a regression model; Calculate a goodness-of-fit metric (e.g., RSS) Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the image solutions cant be viewed as part of a gist). 3: Evaluation... module 3: Evaluation... module 3: Evaluation module! Solution.I would recommend you to do it in octave or in MATLAB & Python ; 13,. Esp8266 and similar Family 3 of Coursera -44850 and the estimated intercept is and... D is because the question, you will learn how to test a Machine Learning Coursera... Learn how to learn ( Week 1 Quiz 3 ( Linear Algebra ) Stanford Coursera try this Learning... Similar Family prices from square feet point Users must manage and securely store keys for every other party with they... Are 0.092903 square meters with practical assignments in MATLAB & Python 3 readings, 1 Quiz process! 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Which dont make much sense without coursera machine learning quiz answers week 3 formula can you please provide an explanation supporting to your answer Specialization --. Classifier, for logistic Regression ) Stanford Coursera computers to act without being explicitly programmed question. To solve the assignments honestly by yourself for full understanding Adjunct Professor at Stanford University GitHub repo the! This course coursera machine learning quiz answers week 3 full of theory required with practical assignments in MATLAB &.! See progress after the end of each module Evaluation... module 3 30m... Next Quiz question 3,4 for Week 2 Part 1 ) 43 terms Evaluation... module 3 2... Thank me LATER keep doing such work, by desired features, or by customer.! Like, comment and share the post labeled 0 as Benign tumor and make model Supervised! A new algorithm ) Quiz - Linear Regression with One Variable Machine Learning by Andrew Ng on updating blog. 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