diff --git a/Lab_2/lab2.ipynb b/Lab_2/lab2.ipynb
index 71d86c9..b8300e9 100644
--- a/Lab_2/lab2.ipynb
+++ b/Lab_2/lab2.ipynb
@@ -192,7 +192,7 @@
    "source": [
     "import pandas as pd\n",
     "\n",
-    "df = pd.read_csv('datasets/neo.csv')\n",
+    "df = pd.read_csv('../../datasets/neo.csv')\n",
     "df.head()"
    ]
   },
@@ -362,7 +362,7 @@
     "import seaborn as sns\n",
     "import numpy as np\n",
     "\n",
-    "df = pd.read_csv('datasets/neo.csv')\n",
+    "df = pd.read_csv('../../datasets/neo.csv')\n",
     "df = df.drop(columns=['name', 'orbiting_body', 'sentry_object'])\n",
     "\n",
     "\n",
@@ -819,7 +819,7 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('datasets/kc_house_data.csv')\n",
+    "df = pd.read_csv('../../datasets/kc_house_data.csv')\n",
     "df.head()\n",
     "#df.select_dtypes(include=np.number).columns.tolist()[1:]"
    ]
@@ -959,7 +959,7 @@
     "import seaborn as sns\n",
     "import numpy as np\n",
     "\n",
-    "df = pd.read_csv('datasets/kc_house_data.csv')\n",
+    "df = pd.read_csv('../../datasets/kc_house_data.csv')\n",
     "df = df.drop(columns=['id'])\n",
     "\n",
     "\n",
@@ -1367,7 +1367,7 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('datasets/diabetes.csv')\n",
+    "df = pd.read_csv('../../datasets/diabetes.csv')\n",
     "df.head()\n",
     "#df.select_dtypes(include=np.number).columns.tolist()"
    ]
@@ -1543,7 +1543,7 @@
     "import seaborn as sns\n",
     "import numpy as np\n",
     "\n",
-    "df = pd.read_csv('datasets/diabetes.csv')\n",
+    "df = pd.read_csv('../../datasets/diabetes.csv')\n",
     "#df = df.drop(columns=['name', 'orbiting_body', 'sentry_object'])\n",
     "\n",
     "\n",
@@ -1728,7 +1728,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.8"
   }
  },
  "nbformat": 4,