Data Mining Competition-Winning Solution Actual Combat

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The course is based on real enterprise data sets and task requirements, combined with competition winning solutions, and from a practical perspective, it explains step by step how to apply machine learning algorithms and data mining techniques to practical problems. All chapters of the course are project actual combat, and each chapter leads everyone to complete a set of solution analysis and actual modeling process from scratch. Choose the current most mainstream python language and its toolkit as the core tools, the overall style is easy to understand, and aims to lead students to challenge practical projects in the field of data science in the most grounded way.

Chapter 1: Fast Hand Short Video User Activity Analysis
Chapter 2: Industrial Chemical Production Forecast
Chapter 3: Smart City-Road Traffic Time Prediction
Chapter 4: Feature Engineering Modeling Explainable Toolkit
Chapter 5: Medical Diabetes Data Named Entity Recognition
Chapter 6: Loan Platform Risk Control Model-Feature Engineering
Chapter 7: News Keyword Extraction Model
Chapter 8: Commonly Used Construction Methods of Data Features
Chapter 9: Electricity Sensitive Customer Classification
Chapter 10: Machine Learning Project Practical Template

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