Big Data Integration

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Edition 2

Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects: 8th Industrial Conference, ICDM 2008 Leipzig, Germany, July 16-18, 2008, Proceedings

Mining Heterogeneous Information Networks: Principles and Methodologies

How to Win the Premier League: The Sunday Times Bestselling Inside Story of Football's Data Revolution

Theoretical Computer Science: 39th National Conference of Theoretical Computer Science, NCTCS 2021, Yinchuan, China, July 23–25, 2021, Revised Selected Papers

Learn Python: Get Started Now With Our Beginner’s Guide to Coding, Programming, and Understanding Artificial Intelligence in the Fastest-Growing Machine Learning Language

Completing the Market: Generating Shadow CDS Spreads by Machine Learning

Marketing Analytics: Data-Driven Techniques with Microsoft Excel

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, Edition 3

Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, January 19–22, 2020, Proceedings

The Power of Cognitive Marketing: IBM Watson Marketing Insights

Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence: 5th China Conference, CCKS 2020, Nanchang, China, November 12–15, 2020, Revised Selected Papers

TIME-SERIES ANALYSIS: FORECASTING STOCK PRICE USING MACHINE LEARNING WITH PYTHON GUI

Building Data Science Teams

How To Mine Bitcoin:: Learn How To Mine Cryptocurrency

GOOGLE STOCK PRICE: TIME-SERIES ANALYSIS, VISUALIZATION, FORECASTING, AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

DATA SCIENCE WITH MYSQL, SQLITE, POSTGRESQL, AND SQL SERVER USING PYTHON GUI

TIME-SERIES WEATHER: FORECASTING AND PREDICTION WITH PYTHON