From 7c3d22ffa18f789a3ec091fc4dc1b2586c329393 Mon Sep 17 00:00:00 2001
From: halina <fedorenko809@yandex.ru>
Date: Sun, 27 Oct 2024 11:24:05 +0400
Subject: [PATCH] =?UTF-8?q?=D1=81=D1=82=D0=B0=D1=80=D1=82=203=20=D0=BB?=
 =?UTF-8?q?=D0=B0=D0=B1=D1=8B?=
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---
 lab_3/lab3.ipynb | 60 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 lab_3/lab3.ipynb

diff --git a/lab_3/lab3.ipynb b/lab_3/lab3.ipynb
new file mode 100644
index 0000000..a6f9b5f
--- /dev/null
+++ b/lab_3/lab3.ipynb
@@ -0,0 +1,60 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Jio Mart Product Items"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Бизнес-цели\n",
+    "Бизнес-цель: Снизить издержки и увеличить продажи за счет оптимизации цен на товары.\n",
+    "Техническая цель: Создать модель машинного обучения, которая будет прогнозировать оптимальные цены на товары на основе их категорий, подкатегорий и текущих цен."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['category', 'sub_category', 'href', 'items', 'price'], dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "df = pd.read_csv(\"..//static//csv//jio_mart_items.csv\")\n",
+    "print(df.columns)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "aimenv",
+   "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": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}