Cosmetic improvements and spelling errors (#256)

Author: rvanbruggen

integrations/neo4j/1_feature_pipeline.ipynb

@@ -22,7 +22,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### 📝 Import librararies "
+    "### 📝 Import libraries "
    ]
   },
   {
@@ -82,7 +82,7 @@
    "source": [
     "URI = \"bolt://localhost:7687\"\n",
     "AUTH = (\"neo4j\", \"changeme\")\n",
-    "DATABASE = \"testdb\""
+    "DATABASE = \"graphembeddingsdemo\""
    ]
   },
   {
@@ -109,7 +109,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Then we do the first import of the first .csv file, holding the (:Party) nodes. This will finish very quickly, as there are only 7-8k nodes."
+    "Then we do the first import of the first .csv file, holding the `(:Party)` nodes. This will finish very quickly, as there are only 7-8k nodes."
    ]
   },
   {
@@ -131,7 +131,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Next we will import the relationshops. There are approx 430k [:TRANSACTION] relationships, and importing these will take a few minutes."
+    "Next we will import the relationshops. There are approx 430k `[:TRANSACTION]` relationships, and importing these will take a few minutes."
    ]
   },
   {
@@ -226,7 +226,7 @@
    "source": [
     "## <span style=\"color:#ff5f27;\"> 🛠️ Feature Engineering </span>\n",
     "## Calculating the node embeddings in Neo4j\n",
-    "For each month of transactions, compute and store embeddings using the `node2vec` library. This uses the GDS library of Neo4j, which [needs to be installed](https://neo4j.com/docs/graph-data-science/current/installation/) on the Neo4j server."
+    "For each month of transactions, compute and store embeddings using the `node2vec` algorithm. This uses the GDS library of Neo4j, which [needs to be installed](https://neo4j.com/docs/graph-data-science/current/installation/) on the Neo4j server."
    ]
   },
   {
@@ -679,7 +679,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,