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Python Data Mining Quick Start Guide: A beginner
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Python Data Mining Quick Start Guide: A beginner's guide to extracting valuable insights from your data
Author: Nathan Greeneltch
Year: April 25, 2019
Format: PDF
File size: PDF 21 MB
Language: English



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Here is a detailed description of the plot: The book begins by introducing the reader to the fundamental terminology and concepts of data mining, emphasizing the significance of understanding the process of technological advancement as the basis for human survival and unity in a war-torn world. The author highlights the importance of developing a personal paradigm for perceiving the technological process of modern knowledge acquisition, which is critical for human survival and the unification of people in a warring state. The book then delves into the various data mining techniques using popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn.
Вот подробное описание сюжета: Книга начинается с знакомства читателя с фундаментальной терминологией и понятиями интеллектуального анализа данных, подчеркивая важность понимания процесса технологического прогресса как основы выживания человека и единства в раздираемом войной мире. Автор подчеркивает важность выработки личностной парадигмы восприятия технологического процесса современного получения знаний, критически важного для выживания человека и объединения людей в воюющем государстве. Затем книга углубляется в различные методы интеллектуального анализа данных с использованием популярных библиотек Python, таких как NumPy, pandas, matplotlib и scikit-learn.
Voici une description détaillée de l'histoire : livre commence par une introduction du lecteur à la terminologie fondamentale et aux concepts de l'exploration de données, soulignant l'importance de comprendre le processus de progrès technologique comme base de la survie humaine et de l'unité dans un monde déchiré par la guerre. L'auteur souligne l'importance d'élaborer un paradigme personnel pour percevoir le processus technologique de la production moderne de connaissances essentielles à la survie humaine et à l'unification des gens dans un État en guerre. Ensuite, le livre explore différentes méthodes d'exploration de données en utilisant les bibliothèques populaires de Python telles que NumPy, pandas, matplotlib et scikit-learn.
He aquí una descripción detallada de la trama: libro comienza con la familiaridad del lector con la terminología fundamental y los conceptos de la minería de datos, destacando la importancia de entender el proceso de progreso tecnológico como base para la supervivencia humana y la unidad en un mundo desgarrado por la guerra. autor destaca la importancia de generar un paradigma personal para percibir el proceso tecnológico de la adquisición moderna del conocimiento, crítico para la supervivencia humana y la unión de las personas en un Estado en guerra. A continuación, el libro profundiza en diversas técnicas de minería de datos utilizando las bibliotecas populares de Python, como NumPy, pandas, matplotlib y scikit-learn.
Eis uma descrição detalhada da história: O livro começa com a familiaridade do leitor com a terminologia básica e os conceitos de análise intelectual de dados, enfatizando a importância de entender o processo de progresso tecnológico como base para a sobrevivência humana e a unidade num mundo devastado pela guerra. O autor ressalta a importância de criar um paradigma pessoal para a percepção do processo tecnológico de geração moderna de conhecimento, crucial para a sobrevivência humana e a união das pessoas num estado em guerra. Em seguida, o livro é aprofundado em várias técnicas de análise inteligente de dados usando bibliotecas populares Python, tais como NumPy, pandas, matplotlib e scikit-learn.
Ecco una descrizione dettagliata della trama: il libro inizia con la conoscenza della terminologia fondamentale e dei concetti di analisi intellettuale dei dati, sottolineando l'importanza di comprendere il processo di progresso tecnologico come base della sopravvivenza dell'uomo e dell'unità in un mondo devastato dalla guerra. L'autore sottolinea l'importanza di sviluppare un paradigma personale per la percezione del processo tecnologico per acquisire conoscenza moderna, fondamentale per la sopravvivenza dell'uomo e per unire le persone in uno stato in guerra. Il libro viene poi approfondito in vari metodi di analisi intelligente dei dati utilizzando le librerie più popolari di Python, come NumPy, pandas, matplotlib e scikit-learn.
Hier ist eine detaillierte Beschreibung der Handlung: Das Buch beginnt mit der Einführung des sers in die grundlegende Terminologie und die Konzepte des Data Mining und betont, wie wichtig es ist, den Prozess des technologischen Fortschritts als Grundlage für das menschliche Überleben und die Einheit in einer vom Krieg zerrissenen Welt zu verstehen. Der Autor betont die Bedeutung der Entwicklung eines persönlichen Paradigmas der Wahrnehmung des technologischen Prozesses des modernen Wissenserwerbs, der für das menschliche Überleben und die Vereinigung von Menschen in einem kriegführenden Staat von entscheidender Bedeutung ist. Das Buch taucht dann in verschiedene Data-Mining-Techniken mit populären Python-Bibliotheken wie NumPy, Pandas, Matplotlib und Scikit-arn ein.
Oto szczegółowy opis fabuły: Książka rozpoczyna się od znajomości przez czytelnika podstawowych terminologii i koncepcji eksploracji danych, podkreślając znaczenie zrozumienia procesu postępu technologicznego jako podstawy ludzkiego przetrwania i jedności w rozdartym wojną świecie. Autor podkreśla znaczenie rozwijania osobistego paradygmatu postrzegania technologicznego procesu zdobywania nowoczesnej wiedzy, który ma kluczowe znaczenie dla przetrwania człowieka i zjednoczenia ludzi w stanie wojennym. Następnie książka rozpoczyna się do różnych technik eksploracji danych przy użyciu popularnych bibliotek Pythona, takich jak NumPy, pandy, matplotlib i scikit-learn.
הנה תיאור מפורט של העלילה: הספר מתחיל בהיכרות של הקורא עם הטרמינולוגיה הבסיסית ומושגי כריית נתונים, ומדגיש את החשיבות של הבנת תהליך ההתקדמות הטכנולוגית כבסיס להישרדות ולאחדות של האדם בעולם שסוע מלחמה. המחבר מדגיש את החשיבות של פיתוח פרדיגמה אישית לתפיסה של התהליך הטכנולוגי של רכישת ידע מודרני, שהוא קריטי להישרדות האדם ולאיחוד של אנשים במדינה לוחמת. הספר מתעמק בשיטות כריית מידע שונות באמצעות ספריות פופולריות כגון NumPy, pandas, matplotlib ו-scikit-learch.''
İşte olay örgüsünün ayrıntılı bir açıklaması: Kitap, okuyucunun veri madenciliğinin temel terminolojisi ve kavramları ile tanışması ile başlar ve teknolojik ilerleme sürecini, savaşın yıktığı bir dünyada insanın hayatta kalması ve birliği için temel olarak anlamanın önemini vurgular. Yazar, insanın hayatta kalması ve insanların savaşan bir durumda birleşmesi için kritik olan modern bilgi ediniminin teknolojik sürecinin algılanması için kişisel bir paradigma geliştirmenin önemini vurgulamaktadır. Kitap daha sonra NumPy, pandalar, matplotlib ve scikit-learn gibi popüler Python kütüphanelerini kullanarak çeşitli veri madenciliği tekniklerini inceliyor.
فيما يلي وصف مفصل للحبكة: يبدأ الكتاب بمعرفة القارئ بالمصطلحات والمفاهيم الأساسية لاستخراج البيانات، مع التأكيد على أهمية فهم عملية التقدم التكنولوجي كأساس لبقاء الإنسان ووحدته في عالم مزقته الحرب. يؤكد المؤلف على أهمية وضع نموذج شخصي لتصور العملية التكنولوجية لاكتساب المعرفة الحديثة، وهو أمر بالغ الأهمية لبقاء الإنسان وتوحيد الناس في دولة متحاربة. ثم يتعمق الكتاب في تقنيات التنقيب عن البيانات المختلفة باستخدام مكتبات بايثون الشهيرة مثل NumPy و pandas و matplotlib و scikit-learn.
다음은 음모에 대한 자세한 설명입니다.이 책은 데이터 마이닝의 기본 용어 및 개념에 대한 독자의 지인으로 시작하여 전쟁의 인간 생존과 통일의 기초로서 기술 진보 과정을 이해하는 것의 중요성을 강조합니다. 세계. 저자는 인간의 생존과 전쟁 상태에있는 사람들의 통일에 중요한 현대 지식 습득의 기술 과정에 대한 인식을위한 개인 패러다임 개발의 중요성을 강조합니다. 그런 다음이 책은 NumPy, 팬더, matplotlib 및 scikit-learn과 같은 인기있는 파이썬 라이브러리를 사용하여 다양한 데이터 마이닝 기술을 탐구합니다.
ここにプロットの詳細な説明があります:本は、戦争で引き裂かれた世界での人間の生存と団結の基礎としての技術進歩のプロセスを理解することの重要性を強調し、データマイニングの基本的な用語と概念を読者の知り合いから始まります。著者は、現代の知識獲得の技術プロセスの認識のための個人的なパラダイムを開発することの重要性を強調します。この本は、NumPy、 pandas、 matplotlib、 scikit-learnなどの人気のあるPythonライブラリを使用して、さまざまなデータマイニング技術を掘り下げます。
這裏是情節的詳細描述:這本書首先使讀者熟悉數據挖掘的基本術語和概念,強調了解技術進步過程作為人類生存和團結的基礎的重要性。飽受戰爭蹂躪的世界。作者強調了建立個人範式以感知對人類生存和交戰國人民團結至關重要的現代知識獲取過程的重要性。然後,該書使用流行的Python庫(例如NumPy,pandas,matplotlib和scikit-learn)深入研究了各種數據挖掘技術。

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