Merge pull request #2 from kylerobertchandler/master

yug95 · web-flow · commit d24faf98b9be · 2023-09-07T20:17:50.000+05:30
Updated code to eliminate warnings, fixed comment typos
diff --git a/Recommendation-Engine/Collaborative filtering - User-User and Item-Item approach..ipynb b/Recommendation-Engine/Collaborative filtering - User-User and Item-Item approach..ipynb
@@ -2,9 +2,18 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/5n/n97z4g557rs9lyv924z46dhc0000gn/T/ipykernel_30845/3479152577.py:7: DeprecationWarning: Please use `pearsonr` from the `scipy.stats` namespace, the `scipy.stats.stats` namespace is deprecated.\n",
+      "  from scipy.stats.stats import pearsonr\n"
+     ]
+    }
+   ],
    "source": [
     "#import all required packages..\n",
     "\n",
@@ -18,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -111,7 +120,7 @@
        "4   12882      110     4.5  1147195239"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -122,21 +131,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:18: FutureWarning: 'movieId' is both an index level and a column label.\n",
-      "Defaulting to column, but this will raise an ambiguity error in a future version\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#Get movie rating count so it will be easy at end to rank movie when 2 movie get same rating....\n",
-    "#this is optional if you want can do it else skip this step.\n",
+    "#this is optional if you want, you can do it, else skip this step.\n",
     "\n",
     "#1. take groupby with respect to movie and get mean avg of each movie. \n",
     "movie_rating_count = Ratings.groupby('movieId')['rating'].count()\n",
@@ -147,9 +147,9 @@
     "#3. change column name.\n",
     "movie_rating_count.columns = ['rating_count']\n",
     "\n",
-    "#4. create new column movieIUd\n",
+    "#4. create new column movieId\n",
     "movie_rating_count['movieId'] = movie_rating_count.index\n",
-    "movie_rating_count.reset_index(drop=True)\n",
+    "movie_rating_count.reset_index(drop=True, inplace=True)\n",
     "\n",
     "#merging to Rating dataframe so we have collectively all information together..\n",
     "Ratings = Ratings.merge(movie_rating_count,right_on='movieId',left_on='movieId')"
@@ -1814,6 +1814,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -2678,7 +2679,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,
