Supervised Learning with Python: Concepts and Practical Implementation Using Pyt
71,15 €
Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. In the following chapters you'll study regression and classification problems, mathematics behind them, algorithms like Linear Regression, Logistic Regression, Decision Tree, KNN, Naïve Bayes, and advanced algorithms like Random Forest, SVM, Gradient Boosting and Neural Networks.
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