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Data Science Revealed : With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning by Tshepo Chris Nokeri (auth.) is a nonfiction available to read on EtoBox.

What is Data Science Revealed : With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning about?

Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures behind each model.The book covers parametric methods or linear models that combat under- or over-fitting using techniques such as Lasso and Ridge. It includes complex regression analysis with time series smoothing, decomposition, and forecasting. It takes a fresh look at non-parametric models for binary classification (logistic regression analysis) and ensemble methods such as decision trees, support vector machines, and naive Bayes. It covers the most popular non-parametric method for time-event data (the Kaplan-Meier estimator). It also covers ways of solving classification problems using artificial neural networks such as restricted Boltzmann machines, multi-layer perceptrons, and deep belief networks. The book discusses unsupervised learning clustering techniques such as the

Who reads Data Science Revealed : With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning?

Author

Tshepo Chris Nokeri (auth.)

Publisher

Apress, Incorporated

Published

2021

Language

EN

ISBN

9781484268711

Category

nonfiction

Subjects

Language Learning, Mathematics, Science