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<blockquote data-quote="Sea1men" data-source="post: 29294904" data-attributes="member: 554883"><p>Assume that you are hired as a Machine Learning Engineer by the Housing Agency, and you are asked to analyze the relationship between interest rates of housing loans and housing prices to predict future housing market trends. </p><p>(i) Identify suitable data set features that can be used for the above case. </p><p>(ii) Generate synthetic/dummy data set with 50 records. </p><p>(iii) Identify a suitable regression model to model the above-mentioned scenario. (iv) Implement the regression model you identified using Python and Google Colaboratory environment</p><p></p><p></p><p>mekata answer danna kenek nadda bn..</p></blockquote><p></p>
[QUOTE="Sea1men, post: 29294904, member: 554883"] Assume that you are hired as a Machine Learning Engineer by the Housing Agency, and you are asked to analyze the relationship between interest rates of housing loans and housing prices to predict future housing market trends. (i) Identify suitable data set features that can be used for the above case. (ii) Generate synthetic/dummy data set with 50 records. (iii) Identify a suitable regression model to model the above-mentioned scenario. (iv) Implement the regression model you identified using Python and Google Colaboratory environment mekata answer danna kenek nadda bn.. [/QUOTE]
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