Data Cleaning and Exploration with Machine Learning
Format: Paperback
ISBN13: 9781803241678
Paperback|9781803241678
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Overview
Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results. Each model choice is grounded in a full understanding of the underlying data, including in feature importance and correlation, and the distribution of features and targets. The first two parts introduce the reader to techniques for preparing data for machine learning algorithms, without being bashful about using some machine learning techniques for data cleaning, including anomaly detection and feature selection. The book then applies that general knowledge to a wide variety of machine learning tasks. The reader will have a good understanding of popular supervised and unsupervised machine learning algorithms, how to prepare data for them, and how to evaluate them.
| ISBN-13 | 9781803241678 |
|---|---|
| ISBN-10 | 1803241675 |
| Weight | 2.03 Pounds |
| Dimensions | 7.50 x 1.23 x 9.25 In |
| List Price | $41.99 |
| Format | Paperback |
|---|---|
| Language | English |
| Pages | 542 pages |
| Publisher | Packt Publishing |
| Published On | 2022-08-26 |
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