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Machine learning pocket reference: working with structured data in python, matt harrison

990 грн

Описание

With detailed notes, tables, and examples, this handy reference will help you
navigate the basics of structured machine learning. Author Matt Harrison
delivers a valuable guide that you can use for additional support during
training and as a convenient resource when you dive into your next machine
learning project.

Ideal for programmers, data scientists, and AI engineers, this book includes
an overview of the machine learning process and walks you through
classification with structured data. YouÃ¢??ll also learn methods for
clustering, predicting a continuous value (regression), and reducing
dimensionality, among other topics.

This pocket reference includes sections that cover:

Classification, using the Titanic dataset

Cleaning data and dealing with missing data

Exploratory data analysis

Common preprocessing steps using sample data

Selecting features useful to the model

Model selection

Metrics and classification evaluation

Regression examples using k-nearest neighbor, decision trees, boosting, and
more

Metrics for regression evaluation

Clustering

Dimensionality reduction