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Titlebook: Data Science Concepts and Techniques with Applications; Usman Qamar,Muhammad Summair Raza Textbook 2023Latest edition The Editor(s) (if ap

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樓主: 惡化
11#
發(fā)表于 2025-3-23 10:36:34 | 只看該作者
Maintenance of Repairable Systemsre selection is an important task used for data preprocessing. It helps reduce the noise and redundant and misleading features. Based on its importance, in this chapter, we will focus on feature selection and the different concepts associated with it.
12#
發(fā)表于 2025-3-23 16:28:48 | 只看該作者
13#
發(fā)表于 2025-3-23 18:39:18 | 只看該作者
Replacement of Capital Equipmentn similar groups. For example, all the fruits with yellow color and having some length may be placed in one group, perhaps the group of banana fruit..In this chapter, we will discuss the concept of the cluster, cluster analysis, and the different algorithms used for clustering.
14#
發(fā)表于 2025-3-23 22:13:43 | 只看該作者
Towards Automatic Systems Architecting polynomial, and logistic regressions as well as some advanced methods of regression. The chapter will initially start with simple regression algorithms and progress to more complex algorithms and will finally conclude with real-world applications for regression models.
15#
發(fā)表于 2025-3-24 03:08:56 | 只看該作者
16#
發(fā)表于 2025-3-24 09:28:44 | 只看該作者
Text Mining,n the form of textual data. It has been found that a few most popular search engines have indexed almost 3 billion documents in textual format. So, it is found essential to have methods for the discovery of information from the text. This led to a new domain called text mining.
17#
發(fā)表于 2025-3-24 12:40:03 | 只看該作者
Data Preprocessing,re selection is an important task used for data preprocessing. It helps reduce the noise and redundant and misleading features. Based on its importance, in this chapter, we will focus on feature selection and the different concepts associated with it.
18#
發(fā)表于 2025-3-24 17:02:25 | 只看該作者
19#
發(fā)表于 2025-3-24 22:18:06 | 只看該作者
20#
發(fā)表于 2025-3-25 03:07:08 | 只看該作者
Regression Analysis, polynomial, and logistic regressions as well as some advanced methods of regression. The chapter will initially start with simple regression algorithms and progress to more complex algorithms and will finally conclude with real-world applications for regression models.
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