Upload PIM2_inf_Allen.ipynb

PIM2_inf_Allen.ipynb

@@ -0,0 +1,202 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import Library\n",
+    "import pandas as pd \n",
+    "import numpy as np \n",
+    "import pickle "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Open Best Params\n",
+    "with open('best_param.pkl', 'rb') as file_1:\n",
+    " best_params = pickle.load(file_1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Open Preprocessing\n",
+    "with open('preprocessing_pipeline.pkl', 'rb') as file_2:\n",
+    " preprocessing_pipeline= pickle.load(file_2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Booking_ID</th>\n",
+       "      <th>no_of_adults</th>\n",
+       "      <th>no_of_children</th>\n",
+       "      <th>no_of_weekend_nights</th>\n",
+       "      <th>no_of_week_nights</th>\n",
+       "      <th>type_of_meal_plan</th>\n",
+       "      <th>required_car_parking_space</th>\n",
+       "      <th>room_type_reserved</th>\n",
+       "      <th>lead_time</th>\n",
+       "      <th>arrival_year</th>\n",
+       "      <th>arrival_month</th>\n",
+       "      <th>arrival_date</th>\n",
+       "      <th>market_segment_type</th>\n",
+       "      <th>repeated_guest</th>\n",
+       "      <th>no_of_previous_cancellations</th>\n",
+       "      <th>no_of_previous_bookings_not_canceled</th>\n",
+       "      <th>avg_price_per_room</th>\n",
+       "      <th>no_of_special_requests</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>INN70000</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>Meal Plan 2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Room_Type 6</td>\n",
+       "      <td>280</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>10</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Online</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "      <td>47</td>\n",
+       "      <td>137.25</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Booking_ID  no_of_adults  no_of_children  no_of_weekend_nights  \\\n",
+       "0   INN70000             4              10                     6   \n",
+       "\n",
+       "   no_of_week_nights type_of_meal_plan  required_car_parking_space  \\\n",
+       "0                 15       Meal Plan 2                           1   \n",
+       "\n",
+       "  room_type_reserved  lead_time  arrival_year  arrival_month  arrival_date  \\\n",
+       "0        Room_Type 6        280          2017             10             7   \n",
+       "\n",
+       "  market_segment_type  repeated_guest  no_of_previous_cancellations  \\\n",
+       "0              Online               1                            13   \n",
+       "\n",
+       "   no_of_previous_bookings_not_canceled  avg_price_per_room  \\\n",
+       "0                                    47              137.25   \n",
+       "\n",
+       "   no_of_special_requests  \n",
+       "0                       5  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Creating new data as prediction\n",
+    "df_inf= {\n",
+    "    'Booking_ID':'INN70000', \n",
+    "    'no_of_adults':4 , \n",
+    "    'no_of_children': 10, \n",
+    "    'no_of_weekend_nights':6,\n",
+    "    'no_of_week_nights':15, \n",
+    "    'type_of_meal_plan':'Meal Plan 2', \n",
+    "    'required_car_parking_space': 1,\n",
+    "    'room_type_reserved':'Room_Type 6', \n",
+    "    'lead_time':280, \n",
+    "    'arrival_year': 2017, \n",
+    "    'arrival_month':10,\n",
+    "    'arrival_date':7, \n",
+    "    'market_segment_type':'Online', \n",
+    "    'repeated_guest':1,\n",
+    "    'no_of_previous_cancellations':13, \n",
+    "    'no_of_previous_bookings_not_canceled':47,\n",
+    "    'avg_price_per_room':137.25, \n",
+    "    'no_of_special_requests':5, \n",
+    "     \n",
+    "}\n",
+    "df_inf = pd.DataFrame([df_inf])\n",
+    "df_inf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This Visitor Predicted: 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Predict new data visitor\n",
+    "prediction = best_params.predict(df_inf)\n",
+    "print('This Visitor Predicted:', round(prediction[0],2))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}