Course Outline

Introduction

Overview of Data Mining Concepts

Data Mining Techniques

Finding Association Rules

Matching Entities

Analyzing Networks

Analyzing the Sentiment of Text

Recognizing Named Entities

Implementing Text Summarization

Generating Topic Models

Detecting Data Anomalies

Best Practices

Summary and Conclusion

Requirements

  • An understanding of Python programming.
  • An understanding of Python libraries in general.

Audience

  • Data analysts
  • Data scientists
 14 Hours

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