Merge pull request #2208 from lucifertrj:logisticreg

PiperOrigin-RevId: 519768018

Author: copybara-github

site/en/guide/core/logistic_regression_core.ipynb

@@ -915,7 +915,7 @@
         "- Analyzing error rates is a great way to gain more insight about a classification model's performance beyond its overall accuracy score.\n",
         "- Overfitting is another common problem for logistic regression models, though it wasn't a problem for this tutorial. Visit the [Overfit and underfit](../../tutorials/keras/overfit_and_underfit.ipynb) tutorial for more help with this.\n",
         "\n",
-        "For more examples of using the TensorFlow Core APIs, check out the [guide](https://www.tensorflow.org/guide/core). If you want to learn more about loading and preparing data, see the tutorials on [image data loading](../../load_data/images.ipynb) or [CSV data loading](../../load_data/csv.ipynb)."
+        "For more examples of using the TensorFlow Core APIs, check out the [guide](https://www.tensorflow.org/guide/core). If you want to learn more about loading and preparing data, see the tutorials on [image data loading](../../tutorials/load_data/images.ipynb) or [CSV data loading](../../tutorials/load_data/csv.ipynb)."
       ]
     }
   ],