The main chapters offer in-depth coverage of principle machine learning algorithms in Python, including details not covered in introductory books. For instance, the regression chapter goes into an ...

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Since Python has become a widely popular language, especially for beginners, this book proves to be an excellent entry point for learning data structures and algorithms within the Python ecosystem. It ...

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Grokking Algorithms is one of the best books to learn data structures and algorithms ... Popular languages like Python, Java, C++, and JavaScript are commonly used for implementing data structures and ...

Some of the most widely used machine learning algorithms in Python are linear and logistic regression, k-means clustering, decision trees, random forests, support vector machines, neural networks ...

This book curates numerous hyperparameter tuning methods for Python, one of the most ... Next, you'll learn the best methods for hyperparameter tuning for a variety of use cases and specific algorithm ...