Python 実践データ分析100本ノック 第3版
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PYG 209878
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This book equips you with the skills to tackle real-world dirty data and apply practical data analysis techniques.
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- リアルな実践データで練習するから即戦力になるスキルが身につく!!○100本ノック 実践練習! …実力をアップする特訓○朝練 まずは準備運動! …分析ツールの使い方○放課後練 応用ノック! …さらなる挑戦を!総ノック120本(超)!!⦅Point!⦆無料のGoogleアカウントがあれば誰でも利用できるColaboratory(データ分析や機械学習に必要な多くのライブラリが標準搭載)で、すぐに練習をはじめられる!!■目次■■朝練 100本ノックに備えて準備運動を行いましょう。序章 朝練 (はじめる前の準備運動・環境整備など)■第1部 基礎編:データ加工第1章 ウェブからの注文数を分析する10本ノック第2章 小売店のデータでデータ加工を行う10本ノック■第2部 実践編1:機械学習第3章 顧客の全体像を把握する10本ノック第4章 顧客の行動を予測する10本ノック第5章 顧客の退会を予測する10本ノック■第3部 実践編2:最適化問題第6章 物流の最適ルートをコンサルティングする10本ノック第7章 ロジスティクスネットワークの最適設計を行う10本ノック第8章 数値シミュレーションで消費者行動を予測する10本ノック■第4部 発展編:画像処理/言語処理第9章 潜在顧客を把握するための画像認識10本ノック第10章 アンケート分析を行うための自然言語処理10本ノック■放課後ノック ローカルLLMを使ってみる20本ノック第11章 大規模言語モデル(LLM)を活用した20本ノック
| Publisher | 秀和システム新社 |
| Publication date | October 10, 2025 |
| Edition | Third |
| Language | Japanese |
| Print length | 352 pages |
| ISBN-10 | 4798075663 |
| ISBN-13 | 978-4798075662 |
| Item Weight | 440 g |
| Dimensions | 5.83 x 0.87 x 8.27 inches (14.8 x 2.2 x 21 cm) |
DESCRIPCIÓN DEL PRODUCTO
Python 実践データ分析100本ノック 第3版
下山輝昌 , 松田雄馬 Editorial Review
Python 実践データ分析100本ノック 第3版 offers a comprehensive guide for those looking to enhance their data analysis skills using Python. This third edition not only covers practical techniques but also includes 352 pages of rich content designed for both beginners and advanced users. The book is published by 祥和システム新社 and features a structured approach to real-world data challenges. Readers appreciate the depth of content and the well-organized format that allows them to practice data analysis effectively. With its focus on practical application, it stands out as a crucial resource for budding data analysts.
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ventajas
- Includes practical data analysis exercises
- Written in clear Japanese
- Structured for beginners and experts
- Published by a reputable company
- Rich in content with 352 pages
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PYG 209878
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características y beneficios
- Learn to handle dirty data effectively.
- Gain insights into real-world data analysis challenges.
- Master 100 practical exercises for hands-on experience.
- Develop essential data visualization skills.
- Explore machine learning and optimization problems.
- Become an immediate asset in any business analytics role.
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