Question
Team Project BUSI 651 - Machine Learning IDEA The idea of this project is to familiarize MBA candidates with the applications of machine learning. EXPECTATIONS
Team Project BUSI 651 - Machine Learning IDEA The idea of this project is to familiarize MBA candidates with the applications of machine learning. EXPECTATIONS Candidates will be expected to use data to identify the problems in their area of interest. The process of identifying the problem and implementing a solution would be primarily based on the use and analytics of data using various tools and techniques discussed in the class. Candidates may use other techniques (subject to approval). 1.0 Introduction 1.1 Introduction Discuss the background of the analysis/research Explain the relevance to the industry or company used in the analysis in conjunction with the current business environment In a paragraph explain the purpose of the research, the relevance of the problem to the current business environment 1.2 Scope and Objectives (deliverables) Scope: Clarify the scope of the analysis or research Objectives: clearly state the objective (similar to a research statement) 2.0 Background Research/Literature Review 2.1 Business Use more than 3 reputed media articles/opinions The articles/opinions must be associated with the area of analysis/research and should be cohesively analyzed 3.0 Methodology 3.1 Data Discuss the data collected Explain how does it relate to the research/Analysis Mention the time frames and sources of the data 3.2 Tools/Analytics Mention the tools and techniques used to analyze the data Explain how it addresses the analysis or research 4.0 Analysis Align this section with 3.2 and explain how the data was analyzed Note changes in tools or methodology (if any) 4.1 Analysis Elaborate the results found in 4.1 and explain how it addresses the objectives Explain how the results are in conjunction to section 2.0 Graphs and explanation 5.0 Conclusion Use sections 2, 3, and 4 and provide conclusive remarks Provide solution to the problem along with some empirical evidence WORD LIMIT No Word Limit. Expect to include all the parts with appropriate Visualization. Submission Format: o Presentation: In week 10 lecture. All team members should participate. o Report Submission: Week 11 DATA SOURCE You can use any data source for this project. You can use the following publicly available dataset: o World Health: (download link: https://data.worldbank.org/indicator; https://data.worldbank.org) o Startups: Funding and Acquisitions (download link: https://github.com/notpeter/crunchbase-data/archive/refs/heads/master.zip). o New York City (download from: https://data.cityofnewyork.us/api/views/43nnpn8j/rows.csv?accessType=DOWNLOAD&bom=true&format=true. New York City Open Data contains data on a wide variety of NYC aspects (e.g., education, safety, recreation, and many more).
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