typo correction ch 5/6/7

notebook.ipynb

@@ -850,9 +850,9 @@
    "id": "c94b8ebf",
    "metadata": {},
    "source": [
-    "The libraries used in this notebook represents the bayesian network as a **Directed Acyclic Graph (DAG)**.\n",
+    "The libraries used in this notebook represent the bayesian network as a **Directed Acyclic Graph (DAG)**.\n",
     "\n",
-    "A DAG is a graph that has a **topological ordering**, which means that the edges are oriented: they have a starting node and a destination node. This is important because the edges in the Bayesian Network represent the causal relation between the variables: the edge goes from the cause to the effect"
+    "A DAG is a graph that has a **topological ordering**, which means that the edges are oriented: they have a starting node and a destination node. This is important because the edges in the Bayesian Network represent the causal relation between the variables: the edge goes from the cause to the effect."
    ]
   },
   {
@@ -904,7 +904,7 @@
    "id": "29a9dac2",
    "metadata": {},
    "source": [
-    "From the above plot, we can see that the structure of the Bayesian Network learnt from the data has some edges that are meaningless.\n",
+    "From the above graph, we can see that the structure of the Bayesian Network learnt from the data has some edges that are meaningless.\n",
     "\n",
     "For example, the edges that points to `Age` and `Sex` does not make sense, because those features are not a consequence of other features, but it is valid the vice versa.\n",
     "\n",
@@ -925,7 +925,7 @@
    "id": "04a65648",
    "metadata": {},
    "source": [
-    "In this section we will add a blacklist to the Hill Climbing algorithm that will limit the creation of unexplainable networks. The black list is passed as a parameter to the Hill Climbing algorithm.\n",
+    "In this section we will add a blacklist to the Hill Climbing algorithm that will limit the creation of unexplainable networks. The blacklist is passed as a parameter to the Hill Climbing algorithm.\n",
     "\n"
    ]
   },
@@ -1669,7 +1669,7 @@
     "<a class=\"anchor\" id=\"ch9\"></a>\n",
     "###### [Back to top](#top)\n",
     "\n",
-    "Thanks to `pgmpy` it is possible to investigate several **properties of the network**. In particular the interent is to find the **conditional independencies** and **active trails** with respect to some given evidence or to ask for the **Markov Blanket** of a node. "
+    "Thanks to `pgmpy` it is possible to investigate several **properties of the network**. In particular the interest is to find the **conditional independencies** and **active trails** with respect to some given evidence or to ask for the **Markov Blanket** of a node. "
    ]
   },
   {