Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principl
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
β Scribed by Miller, Thomas, W
- Publisher
- Pearson Education
- Year
- 2015
- Tongue
- English
- Series
- FT Press Analytics
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<span><span><p>Now<b><em>,</em></b> a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller exp
<span><span><p><b>Master predictive analytics, from start to finish</b></p><p>Start with strategy and management</p><p>Master methods and build models</p><p>Transform your models into highly-effective codeβin both Python and R</p><p>This one-of-a-kind book will help you use predictive analytics,
<span><span><p><em>Master modern web and network data modeling: both theory and applications.</em> In <b><em>Web and Network Data Science,</em></b> a top faculty member of Northwestern Universityβs prestigious analytics program presents the first fully-integrated treatment of both the business a
<P>Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python, such as SciKit-learn, Pandas, Numpy, an