Merge pull request #2240 from dkaufman-rc/patch-1

fix broken link

docs/demos/tutorials/04_Estimating_model_parameters.ipynb

@@ -248,7 +248,7 @@
     "* We are performing a `dedupe_only` (the other options are `link_only`, or `link_and_dedupe`, which may be used if there are multiple input datasets).\n",
     "* When comparing records, we will use information from the `first_name`, `surname`, `dob`, `city` and `email` columns to compute a match score.\n",
     "* The `blocking_rules_to_generate_predictions` states that we will only check for duplicates amongst records where either the `first_name` or `surname` is identical.\n",
-    "* We have enabled [term frequency adjustments](https://moj-analytical-services.github.io/splink/topic_guides/term-frequency.html) for the 'city' column, because some values (e.g. `London`) appear much more frequently than others.\n",
+    "* We have enabled [term frequency adjustments](https://moj-analytical-services.github.io/splink/topic_guides/comparisons/term-frequency.html) for the 'city' column, because some values (e.g. `London`) appear much more frequently than others.\n",
     "* We have set `retain_intermediate_calculation_columns` and `additional_columns_to_retain` to `True`  so that Splink outputs additional information that helps the user understand the calculations. If they were `False`, the computations would run faster."
    ]
   },