Updated paths
authorNeil Smith <NeilNjae@users.noreply.github.com>
Thu, 24 Oct 2024 10:21:06 +0000 (11:21 +0100)
committerNeil Smith <NeilNjae@users.noreply.github.com>
Thu, 24 Oct 2024 10:21:06 +0000 (11:21 +0100)
1.titanic-survivors/1.titanic.ipynb
1.titanic-survivors/1.titanic.md
2.markov-chains/2.markov.ipynb
2.markov-chains/2.markov.md
3.eliza/3.eliza.ipynb
3.eliza/3.eliza.md

index 6177d68fc7ceff01be85fd8a7f7adabb5cd06c00..2c5295c18e0de948437e61e81621d2b53c8d4a43 100644 (file)
@@ -51,7 +51,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/1.titanic-survivors/titanic.csv"
+    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/1.titanic-survivors/titanic.csv"
    ]
   },
   {
index 51b5cd1eff540e757025acacdfcb49c24d71c2a9..76d258d826d92799f45f9576224a8725353d0f47 100644 (file)
@@ -36,7 +36,7 @@ from sklearn.model_selection import train_test_split, cross_val_score
 ```
 
 ```python
-!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/1.titanic-survivors/titanic.csv
+!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/1.titanic-survivors/titanic.csv
 ```
 
 ```python
index a7f337da06feb37acb6dfec11684b6187c0ab3f8..657671d14d892fc128c85405633298412e909aae 100644 (file)
    "metadata": {},
    "outputs": [],
    "source": [
-    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/le-mort-d-arthur.txt\n",
-    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/odyssey.txt\n",
-    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/pride-and-prejudice.txt\n",
-    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/tale-of-two-cities.txt"
+    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/le-mort-d-arthur.txt\n",
+    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/odyssey.txt\n",
+    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/pride-and-prejudice.txt\n",
+    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/tale-of-two-cities.txt"
    ]
   },
   {
index c16c063b46b5934555bc6ae56721d547eb6a690a..f1c7d49ebdf3b20ac048ed103b2407b8b0ee2f1b 100644 (file)
@@ -142,10 +142,10 @@ from IPython.display import display, HTML
 ```
 
 ```python
-!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/le-mort-d-arthur.txt
-!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/odyssey.txt
-!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/pride-and-prejudice.txt
-!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/2.markov-chains/tale-of-two-cities.txt
+!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/le-mort-d-arthur.txt
+!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/odyssey.txt
+!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/pride-and-prejudice.txt
+!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/2.markov-chains/tale-of-two-cities.txt
 ```
 
 ```python jupyter={"outputs_hidden": false}
index 7dde6552c873c80d49493daf25053ff6f164dc9e..4ebb873d8ec783b639f29e3454c46d90b1a8787e 100644 (file)
    "metadata": {},
    "outputs": [],
    "source": [
-    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/3.eliza/rules.yaml"
+    "!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/3.eliza/rules.yaml"
    ]
   },
   {
index adf1c4a27d11a50869d69e96829ff6fb64378d80..238dc027d9e80788aa1752799507cf0701902fe4 100644 (file)
@@ -63,7 +63,7 @@ We'll take each of these steps in turn.
 We can download some rules to work with. Execute this cell.
 
 ```python
-!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/nominet-quick-start-ai/main/3.eliza/rules.yaml
+!wget --no-check-certificate https://raw.githubusercontent.com/NeilNjae/ou-quick-start-ai/main/3.eliza/rules.yaml
 ```
 
 You can look at the raw rules file by clicking on the "Files" icon in the left sidebar and choosing the `rules.yaml` entry. You should be alboe to see that the rules follow the structure of a pattern and a set of possible responses.