sklearn
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Supervised machine learning – Decision trees
Quantitative developers are pivotal in leveraging data to make informed investment decisions. Among the array of analytical tools available, decision trees are a powerful, interpretable, and versatile method for solving financial problems. Their ability to model decisions based on structured…
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Supervised machine learning – Support vector machine
Machine learning has become an indispensable tool for tackling complex problems in quantitative analysis. Among the arsenal of algorithms, Support Vector Machines (SVM) stand out for their robustness in classification and regression tasks. With powerful libraries like sklearn and Matplotlib, Python empowers quant developers to build, evaluate,…