Fixing lineplot

4-Classification/2-Classifiers-1/notebook.ipynb

@@ -1,5 +1,19 @@
 {
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Build Classification Models"
+   ]
+  }
+ ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.8 ('.venv': venv)",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -10,19 +24,15 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": 3
+   "version": "3.10.8"
   },
-  "orig_nbformat": 2
+  "orig_nbformat": 2,
+  "vscode": {
+   "interpreter": {
+    "hash": "b59fb33dab871bf69887c451a50f1630bf8b80f7a0c0187fd7f9758fa12a0c70"
+   }
+  }
  },
  "nbformat": 4,
- "nbformat_minor": 2,
- "cells": [
-  {
-   "source": [
-    "# Build Classification Models"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  }
- ]
-}
+ "nbformat_minor": 2
+}

5-Clustering/2-K-Means/README.md

@@ -173,7 +173,7 @@ Previously, you surmised that, because you have targeted 3 song genres, you shou
 
     ```python
     plt.figure(figsize=(10,5))
-    sns.lineplot(range(1, 11), wcss,marker='o',color='red')
+    sns.lineplot((range(1, 11), wcss) ,marker='o',color='red')
     plt.title('Elbow')
     plt.xlabel('Number of clusters')
     plt.ylabel('WCSS')