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4964Publicado 2021“…This creates a case-study approach that simulates the working conditions you'll experience in real-world data science projects.You'll learn how to use key Python packages, including pandas, Matplotlib, and scikit-learn, and master the process of data exploration and data processing, before moving on to fitting, evaluating, and tuning algorithms such as regularized logistic regression and random forest.Now in its second edition, this book will take you through the end-to-end process of exploring data and delivering machine learning models. …”
Libro electrónico -
4965Publicado 2019“…This book starts off with a detailed focus on forests, domains, trusts, schemas and partitions. …”
Libro electrónico -
4966Publicado 2019“…Next, using R packages such as rpart, random forest, and multiple imputation by chained equations (MICE), you will learn to implement algorithms including neural net classifier, decision trees, and linear and non-linear regression. …”
Libro electrónico -
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