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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 demonstrate core Splink functionality succinctly, rather that comprehensively document all configuration options.\n”,
“\n”,
“The seven parts are:\n”,
“\n”,
“- 1. Data prep pre-requisites\n”,
“\n”,
“- 2. Exploratory analysis\n”,
“\n”,
“- 3. Choosing blocking rules to optimise runtimes\n”,
“\n”,
“- 4. Estimating model parameters\n”,
“\n”,
“- 5. Predicting results\n”,
“\n”,
“- 6. Visualising predictions\n”,
“\n”,
“- 7. Quality assurance\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”,
“
\n”,
“\n”,
“\n”,
“\n”,
“\n”,
“\n”,
“\n”
]
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“## End-to-end demos\n”,
“\n”,
“After following the steps of the tutorial, it might prove useful to have a look at some of the example notebooks that show various use-case scenarios of Splink from start to finish.”
]
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