minor updates to readme for docs

README.rst

@@ -98,7 +98,7 @@ estimate (if any). Here's a sample output of the linear regression estimator.
 
 .. image:: /docs/images/regression_output.png
 
-For detailed code examples, check out the Jupyter notebooks in `docs/source/ <docs/source/>`_, or try them online at `Binder <https://mybinder.org/v2/gh/microsoft/dowhy/master?filepath=docs%2Fsource%2F>`_.
+For detailed code examples, check out the Jupyter notebooks in `docs/source/ <https://github.com/microsoft/dowhy/tree/master/docs/source/>`_, or try them online at `Binder <https://mybinder.org/v2/gh/microsoft/dowhy/master?filepath=docs%2Fsource%2F>`_.
 
 
 A High-level Pandas API

docs/source/do_sampler_demo.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Overview\n",
+    "# Do-sampler Introduction\n",
     "by Adam Kelleher\n",
     "\n",
     "The \"do-sampler\" is a new feature in do-why. While most potential-outcomes oriented estimators focus on estimating the specific contrast $E[Y_0 - Y_1]$, Pearlian inference focuses on more fundamental quantities like the joint distribution of a set of outcomes Y, $P(Y)$, which can be used to derive other statistics of interest.\n",