ANL252 Stop-of-Route Review Instruction to College students This Stop-of-Route Review paper contains 7 pages (including the quilt page). You are to consist of the next particulars for your submission: Route Code, Title of the ECA, SUSS PI No., Your Establish, and Submission Date. Unhurried submission will seemingly be subjected to the marks deduction plan. Please consult with the Pupil Instruction handbook for necessary functions. Crucial Demonstrate ECA Submission Closing date: Friday, 03 April 2026 12:00 pm Allotment A (100 marks) Reply all questions about this piece. The dataset utilized on this paper contains facts about buyer churn, and its facts dictionary is provided in Appendix. Please consult with Canvas for necessary functions of this dataset. Notes on project writing: Your writing must always be succinct but not at the expense of except for linked necessary functions. The issues in the vital characterize must always be introduced in the present in step with the sequence of the initiatives/questions listed in the project; that is, in the present of Request 1, Request 2, …, and so forth. To handbook certain of high Turnitin rep, compose not reproduction the project questions into the characterize. Some questions could merely not reach with fully appropriate or unsuitable solutions. For such questions, that it’s likely you’ll merely hang gotten the liberty to particular your views about the bid. You are also current to hang interplay in goal research to showcase bigger-present pondering abilities when answering the questions. You are immediate to consist of less linked necessary functions for your Appendix, if any. Request 1 Imply and behavior no not up to three (3) facts pre-processing initiatives to successfully-kept and prepare the given dataset on buyer churn the narrate of Python. Provide linked explanations. [No more than 300 words (including the corresponding content in appendix and in-text citation; excluding Python code and reference list)] (30 marks) Request 2 Spend Python to predicament three (3) figures in response to the processed buyer churn dataset received from Request 1 . Focus on the insights for every figure accordingly. Each figure and its corresponding Python codes and insights collectively lift 10 marks. The figures and Python codes are to be provided as fragment of the respond in the vital characterize. [No more than 450 words (including the corresponding content in appendix and in-text citation; excluding Python code and reference list)] (30 marks) Request 3 Spend Python to additional analyse or model the processed dataset received from Request 1 the narrate of a decision tree, the keep the dependent variable is ‘Churn_Flag’. Indicate the linked steps fervent by constrcucting the decision tree model. [No more than 200 words (including the corresponding content in appendix and in-text citation; excluding Python code and reference list). You do not need to plot the decision tree in this question.] (20 marks) Request 4 Space the decision tree model received from Request 3 with Python. Focus on the linked insights in response to the tree predicament. [No more than 200 words (including the corresponding content in appendix and in-text citation; excluding Python code and reference list)] (10 marks) Request 5 Focus on other facts analytics systems or devices that could per chance be used to toughen the insights won from the decision tree model above. Assumptions will seemingly be made to toughen the dialogue. [No more than 300 words (including the corresponding content in appendix and in-text citation; excluding reference list)] (10 marks) Appendix DATA DICTIONARY Variable Description Customer ID Outlandish identifier of every buyer StockCode Outlandish product/item code for the product/item purchased by the consumer Quantity Different of items purchased in the transaction Mark Unit impress of the product Nation Customer’s nation Customer_Age Customer’s age Gender Customer’s gender Customer_Segment Class of buyer Marketing_Channel Supply of acquisition Class Product class Subcategory Extra particular product classification Discount_Applied Whether or not a low cost used to be applied Payment_Method Mode of fee Delivery_Time_Days Initiating lead time in days Churn_Flag Customer is churned or packed with life —– END OF ECA PAPER —– Write My Project Put up Your ANL252 Python for Recordsdata Analytics ECA with Self assurance Native Singapore Writers Team 100% Plagiarism-Free Essay Absolute top Pleasure Rate Free Revision On-Time Initiating
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