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In this liveProject, you’ll build a machine learning system based on the Capital Asset Pricing Model (CAPM) that can determine if certain stocks are over or undervalued, and the risk level of these stocks relative to the market index. CAPM is a powerful tool in finance due to its intuitive and easy-to-apply nature, and in this project you’ll use it to estimate coefficients, determine valuation accuracy, and finally find which stock promises the best risk-return relationship.
This liveProject is for data analysts with an interest in financial services. Some knowledge of the finance industry will be useful. To begin this liveProject you will need to be familiar with the following:
geekle is based on a wordle clone.