Learn splink_demos Learn how to use splink_demos with Shoulder.dev Record Linkage Concepts This category would cover the fundamental ideas behind record linkage, including: Splink Library Features Explain different blocking techniques and how to implement them effectively. Preparation Describe how to clean, transform, and prepare data for record linkage analysis. Training Cover model training techniques for estimating linkage probabilities, including parameter estimation. Prediction Discuss how to predict links between records using trained models. Visualizations Highlight the use of visualizations for understanding linkage results and data quality. Assurance Explain how to assess the quality of linkage results. with Different Data Sources Address how to integrate Splink with various databases and data formats. Interactive Notebooks and Examples Structure Explain the structure of the Jupyter notebook tutorials. Datasets Describe the various datasets used in the examples and their relevance. Walkthroughs Provide detailed explanations and walkthroughs of the code in the example notebooks. Applications Discuss how the examples translate to real-world record linkage tasks. Workflows and Best Practices Record Linkage Process Outline a complete workflow for record linkage using Splink. Optimization Discuss strategies for improving the speed and efficiency of record linkage analysis. Privacy Considerations Highlight data privacy concerns in record linkage and best practices for addressing them. Codebase Learn the codebase to contribute to splink_demos
