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    "# Introductory tutorial\n",
    "\n",
    "This is the introduction to a five part tutorial which demonstrates how to de-duplicate a small dataset using simple settings.\n",
    "\n",
    "The aim of the tutorial is to demonstarate core Splink functionality succinctly, rather that comprehensively document all configuration options.\n",
    "\n",
    "The five parts are:\n",
    "\n",
    "- [1. Exploratory analysis](https://moj-analytical-services.github.io/splink/demos/01_Exploratory_analysis.html)\n",
    "\n",
    "- [2. Choosing blocking rules to optimise runtimes](https://moj-analytical-services.github.io/splink/demos/02_Blocking.html)\n",
    "\n",
    "- [3. Estimating model parameters](https://moj-analytical-services.github.io/splink/demos/03_Estimating_model_parameters.html)\n",
    "\n",
    "- [4. Predicting results](https://moj-analytical-services.github.io/splink/demos/04_Predicting_results.html)\n",
    "\n",
    "- [5. Visualising predictions](https://moj-analytical-services.github.io/splink/demos/05_Visualising_predictions.html)\n",
    "\n",
    "- [6. Quality assurance](https://moj-analytical-services.github.io/splink/demos/06_Quality_assurance.html)\n",
    "\n",
    "\n",
    "Throughout the tutorial, we use the duckdb backend, which is the recommended option for smaller datasets of up to around 1 million records on a normal laptop.\n",
    "\n",
    "You can find these tutorial notebooks in the `splink_demos` repo, and you can run them live in your web browser by clicking the following link:\n",
    "\n",
    "[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/moj-analytical-services/splink_demos/splink3_demos?urlpath=lab)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
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