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@@ -431,4 +431,5 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [QuantFinance](https://github.com/PythonCharmers/QuantFinance) - Training materials in quantitative finance.
 - [MarketAnalysis](https://github.com/Poseyy/MarketAnalysis) - Implementing many different methods and popular analysis tools in Python.
 - [IPythonScripts](https://github.com/mgroncki/IPythonScripts) - Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning.
-- [Computational-Finance-Course](https://github.com/LechGrzelak/Computational-Finance-Course) - Materials for the course of Computational Finance.
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+- [Computational-Finance-Course](https://github.com/LechGrzelak/Computational-Finance-Course) - Materials for the course of Computational Finance.
+- [Machine-Learning-for-Asset-Managers](https://github.com/emoen/Machine-Learning-for-Asset-Managers) - Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
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