الفهرس 
Title : Financial Assessment of Construction Companies Using Machine Learning Approach
SummaryOnly 14 pages are availabe for public view
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Abstract
Financial Ratio Analysis is an effective method for evaluating construction companies’ financial performance. This research’s primary aim is to expand available tools for decision-makers to assess and enhance the company’s financial performance. After gathering financial accounts and annual reports of Egyptian construction contractors, six financial ratios were calculatedand imported into a Machine Learning (ML) model. Next, companies were categorized using K-means and unsupervised learning methods to indicate their financial health. from this analysis, three clusters (poor ”C”, moderate ”B”, and promising ”A”) are created. Subsequently, this research provides guidelines on how firms in clusters B and C might elevate to cluster A. The research also discusses a case study of an anonymous company and its relation to the guidelines provided. In the future, this thesis intends to help Egyptian construction companies evaluate their financial performance among their peers and provide guidelines to help them promote their financial performance.