Fix links in README

README.md

@@ -12,7 +12,7 @@ programming. In most cases, cuML's Python API matches the API from
 
 For large datasets, these GPU-based implementations can complete 10-50x faster
 than their CPU equivalents. For details on performance, see the [cuML Benchmarks
-Notebook](https://github.com/rapidsai/cuml/notebooks/tools/cuml_benchmarks.ipynb).
+Notebook](https://github.com/rapidsai/cuml/tree/branch-0.14/notebooks/tools).
 
 As an example, the following Python snippet loads input and computes DBSCAN clusters, all on GPU:
 ```python
@@ -62,8 +62,8 @@ neighbors = nn.kneighbors(df)
 
 For additional examples, browse our complete [API
 documentation](https://docs.rapids.ai/api/cuml/stable/), or check out our
-introductory [walkthrough
-notebooks](https://github.com/rapidsai/notebooks/tree/master/cuml). Finally, you
+example [walkthrough
+notebooks](https://github.com/rapidsai/cuml/tree/branch-0.14/notebooks). Finally, you
 can find complete end-to-end examples in the [notebooks-contrib
 repo](https://github.com/rapidsai/notebooks-contrib).