binary classification
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Supervised machine learning – Logistic regression
Predictive models are at the heart of decision-making in quantitative finance. Logistic regression, a fundamental machine learning algorithm, offers quantitative developers a robust and interpretable tool for classification problems. By leveraging logistic regression, financial institutions and developers can predict market…
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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,…