lab3 done

lab3/lab3.ipynb

@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -58,7 +58,7 @@
    "source": [
     "from sklearn.model_selection import train_test_split\n",
     "import pandas as pd\n",
-    "dataset = pd.read_csv(\".//datasetlab1//marketing_campaign.csv\", sep=\"\\t\")\n",
+    "dataset = pd.read_csv(\"..//..//static//csv//marketing_campaign.csv\", sep=\"\\t\")\n",
     "\n",
     "# Удаление неинформативных столбцов и выбор целевых данных для бизнес-целей\n",
     "columns_to_use = [\n",