| ผู้แต่ง |
Hwang, Yoon Hyup, author |
| ชื่อเรื่อง |
Hands-on data science for marketing : improve your marketing strategies with machine learning using Python and R / Yoon Hyup Hwang |
| ISBN |
978178934634 |
| ISBN |
9781789348828(electronicbk. |
| ISBN |
178934882 |
| เลขเรียก |
658.834 2 |
| เลขหมู่ |
HF5415.12 |
| ลักษณะทางกายภาพ |
1 online resource : illustration |
| หมายเหตุ |
Decision trees and interpretations with RData analysis and visualizations; Conversion rate; Conversion rates by job; Default rates by conversions; Bank balance by conversions; Conversion rates by number of contacts; Encoding categorical variables; Encoding the month; Encoding the job, housing, and marital variables; Building decision trees; Interpreting decision trees; Summary; Section 3: Product Visibility and Marketing; Chapter 5: Product Analytics; The importance of product analytics; Product analytics using Python; Time series trends; Repeat customers; Trending items over tim |
| หมายเหตุ |
Combining continuous and categorical variablesSummary; Chapter 4: From Engagement to Conversion; Decision trees; Logistic regression versus decision trees; Growing decision trees; Decision trees and interpretations with Python; Data analysis and visualization; Conversion rate; Conversion rates by job; Default rates by conversions; Bank balances by conversions; Conversion rates by number of contacts; Encoding categorical variables; Encoding months; Encoding jobs; Encoding marital; Encoding the housing and loan variables; Building decision trees; Interpreting decision tree |
| หมายเหตุ |
Chapter 3: Drivers behind Marketing EngagementUsing regression analysis for explanatory analysis; Explanatory analysis and regression analysis; Logistic regression; Regression analysis with Python; Data analysis and visualizations; Engagement rate; Sales channels; Total claim amounts; Regression analysis; Continuous variables; Categorical variables; Combining continuous and categorical variables; Regression analysis with R; Data analysis and visualization; Engagement rate; Sales channels; Total claim amounts; Regression analysis; Continuous variables; Categorical variable |
| หมายเหตุ |
Contents: Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Section 1: Introduction and Environment Setup; Chapter 1: Data Science and Marketing; Technical requirements; Trends in marketing; Applications of data science in marketing; Descriptive versus explanatory versus predictive analyses; Types of learning algorithms; Data science workflow; Setting up the Python environment; Installing the Anaconda distribution; A simple logistic regression model in Python; Setting up the R environment; Installing R and RStudio; A simple logistic regression model in |
| หมายเหตุ |
Summary: This book will be an excellent resource for both Python and R developers and will help them apply data science and machine learning to marketing with real-world data sets. By the end of this book, you will be well equipped with the required knowledge and expertise to draw insights from data and improve your marketing strategies |
| หมายเหตุ |
Summary: Section 2: Descriptive Versus Explanatory Analysis; Chapter 2: Key Performance Indicators and Visualizations; KPIs to measure performances of different marketing efforts; Sales revenue; Cost per acquisition (CPA); Digital marketing KPIs; Computing and visualizing KPIs using Python; Aggregate conversion rate; Conversion rates by age; Conversions versus non-conversions; Conversions by age and marital status; Computing and visualizing KPIs using R; Aggregate conversion rate; Conversion rates by age; Conversions versus non-conversions; Conversions by age and marital status; Summar |
| หัวเรื่อง |
R (Computer program language)--fast--(OCoLC)fst0108620 |
| หัวเรื่อง |
Python (Computer program language)--fast--(OCoLC)fst0108473 |
| หัวเรื่อง |
Marketing research.--fast--(OCoLC)fst0101028 |
| หัวเรื่อง |
Marketing--Data processing.--fast--(OCoLC)fst0101018 |
| หัวเรื่อง |
Machine learning.--fast--(OCoLC)fst0100479 |
| หัวเรื่อง |
R (Computer program language |
| หัวเรื่อง |
Python (Computer program language |
| หัวเรื่อง |
Marketing research |
| หัวเรื่อง |
Machine learning |
| หัวเรื่อง |
Marketing--Data processing |
แสดงรายละเอียดบรรณานุกรม
QR code
ปิดหน้าต่าง
RMU-ebook : เกี่ยวกับ Collections
Copyright 2026. All Rights Reserved.