remove broken link

Author: mrdbourke

README.md

@@ -138,7 +138,7 @@ You can find solutions to the exercises in [`extras/solutions/`](https://github.
 
 * [MIT introduction deep learning lecture 1](https://www.youtube.com/watch?v=7sB052Pz0sQ&ab_channel=AlexanderAmini) - gives a great overview of what's happening behind all of the code we're running.
 * Reading: 1-hour of [Chapter 1 of Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/chap1.html) by Michael Nielson - a great in-depth and hands-on example of the intuition behind neural networks.
-* To practice your regression modelling with TensorFlow, I'd also encourage you to look through [Lion Bridge's collection of datasets](https://lionbridge.ai/datasets/) or [Kaggle's datasets](https://www.kaggle.com/data), find a regression dataset which sparks your interest and try to model.
+* To practice your regression modelling with TensorFlow, I'd also encourage you to look through [Kaggle's datasets](https://www.kaggle.com/data), find a regression dataset which sparks your interest and try to model.
 
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