ANL252 Python for Files Analytics Cease-of-Direction Overview – July Semester 2025, Singapore

INSTRUCTIONS TO STUDENTS: This Cease-of-Direction Overview paper contains 7 pages (at the side of the hide web train). You are to embody the next particulars to your submission: Direction Code, Title of the ECA, SUSS PI No., Your Name, and Submission Date. Slack submission would perhaps be subjected to the marks deduction procedure. Please talk over with the Student Instruction manual for details.   Write My Project Rent a Decent Essay & Project Creator for finishing your Academic Assessments Native Singapore Writers Crew 100% Plagiarism-Free Essay Absolute best Pleasure Price Free Revision On-Time Supply IMPORTANT NOTE ECA Submission Cut-off date: Friday, 31 October 2025, 12:00 pm ECA Submission Pointers Please exclaim the submission instructions talked about below: A – What Need to Be Submitted You are required to publish the next merchandise for marking and grading: A Epic Please look at your submissions after you beget submitted the above ONE (1) merchandise. B – Submission Cut-off date The Epic is to be submitted by 12 noon on the submission deadline. You are allowed a complete lot of submissions till the deadline. Slack submission would perhaps be subjected to set up-deduction procedure by the College. Please talk over with Fragment 5.2 Para 2.4 of the Student Instruction manual. C – How the (1) Item Will beget to Be Submitted The Epic: publish online to Canvas by strategy of TurnItIn (for plagiarism detection) Wait on faraway from the use of a public WiFi connection for submitting enormous files. Within the occasion you are the use of public wireless (WiFi) connection (e.g. SG Wireless at public areas), you might advance all the blueprint via a destroy in the connection when sending enormous files. D – Additional pointers on file formatting are given as follows 1.   Epic •   Please set apart sure that your Microsoft Be aware file is generated by Microsoft Be aware 2016 or better. •   The picture wants to be saved in .docx structure. •   The total Python codes indicated clearly identical to every segment of the query, are to be expressed in textual train structure in Monospaced font (as an instance, Courier New, Lucida Sans Typewriter) and wishes to be incorporated as segment of the acknowledge in the principle picture. [Screenshots or other formats of the codes are not permitted and will not be marked.] •   The charts produced are to be incorporated as pictures in the Be aware file. •   The solutions dictionary of the ECA dataset is depicted in Appendix. •   Please specify the T/TG groups on the task hide web train. E – Please be Mindful of the Following Submission in hardcopy or any other blueprint not given in the above pointers isn’t going to be permitted. You lift out not should always publish any other kinds or hide sheets (e.g. set apart ET3) with your ECA. You are reminded that digital transmission isn’t rapid. The network website visitors can also fair be namely heavy on the date of submission deadline and connections to the plot can’t be assured. Hence, you are knowledgeable to publish your work early. Canvas will enable you to publish your work monotonous however your work would perhaps be subjected to the set up-deduction procedure. That you just would be in a position to fair gentle therefore not jeopardise your course result by submitting your ECA at the last minute. It is your responsibility to confirm and set apart sure that your files are successfully submitted to Canvas. F – Plagiarism and Collusion Plagiarism and collusion are forms of dishonest and should always not acceptable in any set apart in a student’s work, at the side of this ECA. Plagiarism and collusion are taking work done by others or work done along with others respectively and passing it off as your have. That you just would be in a position to protect faraway from plagiarism by giving appropriate references must you use folks’s solutions, words or pictures (at the side of diagrams). Consult with the APA Handbook in case you’ll have reminding about quoting and referencing. That you just would be in a position to protect faraway from collusion by making sure that your submission is primarily based fully to your have individual effort.  The digital submission of your ECA would perhaps be screened by plagiarism detection instrument. For extra details about plagiarism and collusion, you may additionally fair gentle talk over with the Student Instruction manual (Fragment 5.2.1.3). You are reminded that SUSS takes a tricky stance in opposition to plagiarism or collusion. Serious circumstances will on the full result in the coed being referred to SUSS’s Student Disciplinary Community. For other circumstances, necessary set up penalties or expulsion from the course would perhaps be imposed. G – Exercise of Generative AI Instruments (Allowed) The usage of generative AI tools is allowed for this task. You are anticipated to produce correct attribution in case you use generative AI tools while finishing the task, at the side of appropriate and disciplinespecific quotation, a table detailing the name of the AI instrument extinct, the technique to the use of the instrument (e.g. what prompts had been extinct), the paunchy output equipped by the instrument, and which segment of the output turned into adapted for the task; To raise into story part 3, paragraph 3.2 and part 5.2, paragraph 2A.1 (Viva Voce) of the Student Instruction manual; The College has the honest to deliver the viva voce possibility to search out out the authorship of a student’s submission can also fair gentle there be cheap grounds to suspect that the submission can also fair not be fully the coed’s have work. For extra details on academic integrity and guidance on responsible use of generative AI tools in assignments, please talk over with the TLC web residing for additional details; The College will proceed to search out out about the usage of generative AI tools primarily based fully on suggestions and in gentle of tendencies in AI and associated technologies. (Paunchy marks: 100) Aquire Custom-made Answer of This Overview & Lift Your Grades Obtain A Free Quote Fragment A(100 marks) Answer all questions in this part. The dataset extinct in this paper contains details about startup acquisitions, and its recordsdata dictionary is equipped in the Appendix. Please talk over with Canvas for details of this dataset. Notes on task writing: Your writing should always be succinct however not at the expense of other than associated details. The issues in the principle picture should always be presented in the inform per the sequence of the initiatives/questions listed in the task; that is, in the inform of Question 1, Question 2, …, and heaps others. To protect faraway from high Turnitin get, lift out not reproduction the task questions into the picture. Some questions can also fair not advance with fully honest or gross solutions. For such questions, you beget the liberty to explicit your views about the subject. You are moreover permitted to have interaction in self ample research to gift better-inform taking into consideration skills when answering the questions. You are urged to embody less associated details to your Appendix, if any. Question 1 Propose and conduct as a minimum three (3) recordsdata pre-processing initiatives to dapper and put collectively the given dataset on startup acquisitions the use of Python. Present associated explanations. [No more than 300 words (including the corresponding content in appendix and in-text citation; excluding Python code and reference list)] (30 marks) Question 2 Exercise Python to reputation three (3) figures primarily based fully on the processed startup acquisitions dataset bought from Question 1 . Suppose about the insights for every resolve accordingly. Each resolve and its corresponding Python codes and insights collectively lift 10 marks. The figures and Python codes are to be equipped as segment of the acknowledge in the principle picture. [No more than 450 words (including the corresponding content in appendix and in-text citation; excluding Python code and reference list)] (30 marks) Question 3 Exercise Python to extra analyse or model the processed dataset bought from Question 1 the use of a decision tree, the place the dependent variable is ‘Obtained’. Repeat the associated steps eager in building 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) Question 4 Explain the decision tree model bought from Question 3 with Python. Suppose about the associated insights primarily based fully on the tree reputation. [No more than 200 words (including the corresponding content in appendix and in-text citation; excluding Python code and reference list)] (10 marks) Question 5 Suppose about different recordsdata analytics recommendations or objects that will be employed to enhance or make stronger the insights derived from the decision tree model above. Assumptions can also fair moreover be made to enhance 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 Startup ID Identifier of every startup Based one year one year the startup turned into founded Nation Nation the place the startup is primarily based fully Alternate Alternate category Funding Stage Stage of investment Total Funding Total funding got (in million USD) Different of Workers Different of workers in the startup Annual Earnings Annual revenue (in million USD) Valuation Startup’s valuation (in billion USD) Customer Unhealthy Different of full of life possibilities (in million) Tech Stack Applied sciences extinct by the startup Social Media Followers Total followers on social platforms Obtained Whether or not the startup is got (Hump/No) —– END OF ECA PAPER —– Stuck with deal of homework assignments and feeling pressured ? 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