صورة الغلاف المحلية
عرض عادي
Python data mining quick start guide : a beginner's guide to extracting valuable insights from your data / Nathan Greeneltch
نوع المادة :
نصاللغة: الإنجليزية Birmingham, UK: Packt Publishing, 2019وصف:iv, 177 pages : illustrations ; 25 cmنوع المحتوى:- text
- unmediated
- volume
- 9781789800265
- QA76.9.D343 G744 2019
المحتويات:
ملخص:This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.
Data Mining and Getting Started with Python Tools.-- Basic Terminology and Our End-to-End Example.-- Collecting, Exploring, and Visualizing Data.-- Cleaning and Readying Data for Analysis.-- Grouping and Clustering Data.-- Prediction with Regression and Classification.-- Advanced Topics - Building a Data Processing Pipeline and Deploying It.
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
|---|---|---|---|---|---|---|---|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.D343 G744 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000005913 | ||
|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.D343 G744 2019 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000005912 |
Data Mining and Getting Started with Python Tools.-- Basic Terminology and Our End-to-End Example.-- Collecting, Exploring, and Visualizing Data.-- Cleaning and Readying Data for Analysis.-- Grouping and Clustering Data.-- Prediction with Regression and Classification.-- Advanced Topics - Building a Data Processing Pipeline and Deploying It.
This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.
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