From 4a1234c2a5f1e247d29d1beea144263b29365de0 Mon Sep 17 00:00:00 2001
From: "localizeflow[bot]" <skytin1004@users.noreply.github.com>
Date: Fri, 24 Apr 2026 11:28:51 +0000
Subject: [PATCH] chore(i18n): sync translations with latest source changes
 (chunk 1/1, 6 changes)

---
 translations/kn/.co-op-translator.json        |  4 +-
 .../3-Classifiers-2/solution/notebook.ipynb   | 51 +++++--------------
 translations/ml/.co-op-translator.json        |  4 +-
 .../3-Classifiers-2/solution/notebook.ipynb   | 49 +++++-------------
 translations/te/.co-op-translator.json        |  4 +-
 .../3-Classifiers-2/solution/notebook.ipynb   | 49 +++++-------------
 6 files changed, 46 insertions(+), 115 deletions(-)

diff --git a/translations/kn/.co-op-translator.json b/translations/kn/.co-op-translator.json
index cf468a836..34e02cae6 100644
--- a/translations/kn/.co-op-translator.json
+++ b/translations/kn/.co-op-translator.json
@@ -210,8 +210,8 @@
     "language_code": "kn"
   },
   "4-Classification/3-Classifiers-2/solution/notebook.ipynb": {
-    "original_hash": "70f41fe4fd4253adb44cd9d291406e4f",
-    "translation_date": "2026-02-28T10:51:37+00:00",
+    "original_hash": "382c1f542f31fcc58137ce6d14751413",
+    "translation_date": "2026-04-24T11:28:40+00:00",
     "source_file": "4-Classification/3-Classifiers-2/solution/notebook.ipynb",
     "language_code": "kn"
   },
diff --git a/translations/kn/4-Classification/3-Classifiers-2/solution/notebook.ipynb b/translations/kn/4-Classification/3-Classifiers-2/solution/notebook.ipynb
index 8aef06afa..9507c6715 100644
--- a/translations/kn/4-Classification/3-Classifiers-2/solution/notebook.ipynb
+++ b/translations/kn/4-Classification/3-Classifiers-2/solution/notebook.ipynb
@@ -2,51 +2,28 @@
  "cells": [
   {
    "source": [
-    "# ಇನ್ನಷ್ಟು ವರ್ಗೀಕರಣ ಮಾದರಿಗಳನ್ನು ರಚಿಸಿ\n"
+    "# ಹೆಚ್ಚು ವರ್ಗೀಕರಣ ಮಾದರಿಗಳನ್ನು ನಿರ್ಮಿಸಿ\n"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ಡೇಟಾಸೆಟ್ ಅವಲೋಕನ\n",
+    "ಈ ಡೇಟಾಸೆಟ್ ಪ್ರತಿ ಊಟವಿಧಾನದ ಮೂಲಕ ಲೇಬಲ್ ಮಾಡಲಾದ ವೈಯಕ್ತಿಕ ಮಾದರಿಗಳನ್ನು (ಉದಾಹರಣೆಗೆ, ಪಾಕವಿಧಾನಗಳು) ಹೊಂದಿದೆ.\n",
+    "ಪ್ರತಿ ಸಾಲು ಒಂದು ವೈಯಕ್ತಿಕ ಮಾದರಿ/ರೆಕಾರ್ಡ್ ಅನ್ನು ಸೂಚಿಸುತ್ತದೆ, ಮತ್ತು ಕಾಲಮ್‌ಗಳು ವರ್ಗೀಕರಣಕ್ಕೆ ಬಳಸುವ घटಕಗಳು ಅಥವಾ ಇತರ ಲಕ್ಷಣಗಳನ್ನು, `cuisine` ಲೇಬಲ್ ಸಹಿತ, ಹೊಂದಿರುತ್ತವೆ.\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "   Unnamed: 0 cuisine  almond  angelica  anise  anise_seed  apple  \\\n",
-       "0           0  indian       0         0      0           0      0   \n",
-       "1           1  indian       1         0      0           0      0   \n",
-       "2           2  indian       0         0      0           0      0   \n",
-       "3           3  indian       0         0      0           0      0   \n",
-       "4           4  indian       0         0      0           0      0   \n",
-       "\n",
-       "   apple_brandy  apricot  armagnac  ...  whiskey  white_bread  white_wine  \\\n",
-       "0             0        0         0  ...        0            0           0   \n",
-       "1             0        0         0  ...        0            0           0   \n",
-       "2             0        0         0  ...        0            0           0   \n",
-       "3             0        0         0  ...        0            0           0   \n",
-       "4             0        0         0  ...        0            0           0   \n",
-       "\n",
-       "   whole_grain_wheat_flour  wine  wood  yam  yeast  yogurt  zucchini  \n",
-       "0                        0     0     0    0      0       0         0  \n",
-       "1                        0     0     0    0      0       0         0  \n",
-       "2                        0     0     0    0      0       0         0  \n",
-       "3                        0     0     0    0      0       0         0  \n",
-       "4                        0     0     0    0      0       1         0  \n",
-       "\n",
-       "[5 rows x 382 columns]"
-      ],
-      "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>Unnamed: 0</th>\n      <th>cuisine</th>\n      <th>almond</th>\n      <th>angelica</th>\n      <th>anise</th>\n      <th>anise_seed</th>\n      <th>apple</th>\n      <th>apple_brandy</th>\n      <th>apricot</th>\n      <th>armagnac</th>\n      <th>...</th>\n      <th>whiskey</th>\n      <th>white_bread</th>\n      <th>white_wine</th>\n      <th>whole_grain_wheat_flour</th>\n      <th>wine</th>\n      <th>wood</th>\n      <th>yam</th>\n      <th>yeast</th>\n      <th>yogurt</th>\n      <th>zucchini</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>indian</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 382 columns</p>\n</div>"
-     },
-     "metadata": {},
-     "execution_count": 1
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
+    "# Load dataset containing cuisine features\n",
     "cuisines_df = pd.read_csv(\"../../data/cleaned_cuisines.csv\")\n",
     "cuisines_df.head()"
    ]
@@ -124,7 +101,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# ವಿಭಿನ್ನ ವರ್ಗೀಕರಣಕಾರಿಗಳನ್ನು ಪ್ರಯತ್ನಿಸಿ\n"
+    "# ವಿಭಿನ್ನ ವರ್ಗೀಕಾರಿಗಳನ್ನು ಪ್ರಯತ್ನಿಸಿ\n"
    ]
   },
   {
@@ -263,7 +240,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**ತಪ್ಪು ನಿರಾಕರಣೆ**:  \nಈ ದಸ್ತಾವೇಜನ್ನು AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿ ಅನುವದಿಸಲಾಗಿದೆ. ನಾವು ಶುದ್ದತೆಯ ಮೇಲೆ ಪ್ರಯತ್ನಿಸುವರೂ, ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ತಪ್ಪುಗಳು ಅಥವಾ ಅಸ್ಪಷ್ಟತೆಗಳು ಇರುವ ಸಾಧ್ಯತೆ ಇದೆ ಎಂದು ದಯವಿಟ್ಟು ಗಮನಿಸಿ. ಮೂಲ ಭಾಷೆಯಲ್ಲಿ ಇರುವ ಮೂಲ ದಸ್ತಾವೇಜೇ ಅಧಿಕೃತ ಮೂಲ ಎಂದು ಪರಿಗಣಿಸಿ. ಮಹತ್ವದ ಮಾಹಿತಿಗಾಗಿ ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗುತ್ತದೆ. ಈ ಅನುವಾದದ ಬಳಕೆಯಿಂದ ಉಂಟಾಗುವ ಯಾವುದೇ ಅವಘಡಗಳು ಅಥವಾ ತಪ್ಪು ವಿವರಣೆಗಳಿಗೆ ನಾವು ಹೊಣೆಗಾರರಲ್ಲ.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
+    "---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**ತಿರಸ್ಕರಣೆ**:  \nಈ ದಸ್ತಾವೇಜನ್ನು AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಉಪಯೋಗಿಸಿ ಅನುವದಿಸಲಾಗಿದೆ. ನಾವು ನಿಖರತೆಗಾಗಿ ಪ್ರಯತ್ನಿಸುವುದಾದರೆ, ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ತಪ್ಪುಗಳು ಅಥವಾ ಅನನ್ವಯಕತೆಗಳು ಇರಬಹುದು ಎಂದು ದಯವಿಟ್ಟು ಗಮನಿಸಿ. ಮೂಲ ಭಾಷೆಯಲ್ಲಿರುವ ಪ್ರಥಮ ದಸ್ತಾವೇಜನ್ನು ಅಧಿಕೃತ ಮೂಲವಾಗಿ ಪರಿಗಣಿಸಬೇಕಾಗಿದೆ. ಗಂಭೀರ ಮಾಹಿತಿಗಾಗಿ, ವೃತ್ತಿಪರ ಮಾನವನವರು ಮಾಡುವ ಅನುವಾದವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗುತ್ತದೆ. ಈ ಅನುವಾದವನ್ನು ಬಳಸುವ ಪರಿಣಾಮವಾಗಿ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪು ವರ್ಣನೆಗಳು ಅಥವಾ ವ್ಯಾಖ್ಯಾನಗಳಿಗಾಗಿ ನಾವು ಹೊಣೆಗಾರರಲ್ಲ.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
    ]
   }
  ],
diff --git a/translations/ml/.co-op-translator.json b/translations/ml/.co-op-translator.json
index 627131450..fc33ab8c7 100644
--- a/translations/ml/.co-op-translator.json
+++ b/translations/ml/.co-op-translator.json
@@ -210,8 +210,8 @@
     "language_code": "ml"
   },
   "4-Classification/3-Classifiers-2/solution/notebook.ipynb": {
-    "original_hash": "70f41fe4fd4253adb44cd9d291406e4f",
-    "translation_date": "2026-02-28T10:51:27+00:00",
+    "original_hash": "382c1f542f31fcc58137ce6d14751413",
+    "translation_date": "2026-04-24T11:28:30+00:00",
     "source_file": "4-Classification/3-Classifiers-2/solution/notebook.ipynb",
     "language_code": "ml"
   },
diff --git a/translations/ml/4-Classification/3-Classifiers-2/solution/notebook.ipynb b/translations/ml/4-Classification/3-Classifiers-2/solution/notebook.ipynb
index d8bd24cc2..20f7bb91d 100644
--- a/translations/ml/4-Classification/3-Classifiers-2/solution/notebook.ipynb
+++ b/translations/ml/4-Classification/3-Classifiers-2/solution/notebook.ipynb
@@ -2,51 +2,28 @@
  "cells": [
   {
    "source": [
-    "# കൂടുതൽ വർഗ്ഗീകരണ മോഡലുകൾ നിർമ്മിക്കുക\n"
+    "# കൂടുതൽ ക്ലാസിഫിക്കേഷൻ മോഡലുകൾ നിർമ്മിക്കൂ\n"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dataset Overview\n",
+    "ഈ ഡാറ്റാസെറ്റ് വ്യക്തിഗത സാമ്പിളുകൾ (ഉദാഹരണത്തിന്, റെസിപ്പികൾ) ഭക്ഷണശൈലി പ്രകാരം ലേബൽ ചെയ്യപ്പെട്ടിരിക്കുന്നു.\n",
+    "ഓരോ വരിയും ഒരു ഏകദേശം സാമ്പിള്‍/റെക്കോർഡിനും തുല്യമാണ്, കോളങ്ങൾ വർഗ്ഗീകരണത്തിനായി ഉപയോഗിക്കുന്ന ഉൾക്കൊള്ളിക്കലുകൾ അല്ലെങ്കിൽ മറ്റ് ലക്ഷണങ്ങളെ പ്രതിനിധീകരിക്കുന്നു, ഇതിൽ `cuisine` ലേബലും ഉൾപ്പെടുന്നു.\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "   Unnamed: 0 cuisine  almond  angelica  anise  anise_seed  apple  \\\n",
-       "0           0  indian       0         0      0           0      0   \n",
-       "1           1  indian       1         0      0           0      0   \n",
-       "2           2  indian       0         0      0           0      0   \n",
-       "3           3  indian       0         0      0           0      0   \n",
-       "4           4  indian       0         0      0           0      0   \n",
-       "\n",
-       "   apple_brandy  apricot  armagnac  ...  whiskey  white_bread  white_wine  \\\n",
-       "0             0        0         0  ...        0            0           0   \n",
-       "1             0        0         0  ...        0            0           0   \n",
-       "2             0        0         0  ...        0            0           0   \n",
-       "3             0        0         0  ...        0            0           0   \n",
-       "4             0        0         0  ...        0            0           0   \n",
-       "\n",
-       "   whole_grain_wheat_flour  wine  wood  yam  yeast  yogurt  zucchini  \n",
-       "0                        0     0     0    0      0       0         0  \n",
-       "1                        0     0     0    0      0       0         0  \n",
-       "2                        0     0     0    0      0       0         0  \n",
-       "3                        0     0     0    0      0       0         0  \n",
-       "4                        0     0     0    0      0       1         0  \n",
-       "\n",
-       "[5 rows x 382 columns]"
-      ],
-      "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>Unnamed: 0</th>\n      <th>cuisine</th>\n      <th>almond</th>\n      <th>angelica</th>\n      <th>anise</th>\n      <th>anise_seed</th>\n      <th>apple</th>\n      <th>apple_brandy</th>\n      <th>apricot</th>\n      <th>armagnac</th>\n      <th>...</th>\n      <th>whiskey</th>\n      <th>white_bread</th>\n      <th>white_wine</th>\n      <th>whole_grain_wheat_flour</th>\n      <th>wine</th>\n      <th>wood</th>\n      <th>yam</th>\n      <th>yeast</th>\n      <th>yogurt</th>\n      <th>zucchini</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>indian</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 382 columns</p>\n</div>"
-     },
-     "metadata": {},
-     "execution_count": 1
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
+    "# Load dataset containing cuisine features\n",
     "cuisines_df = pd.read_csv(\"../../data/cleaned_cuisines.csv\")\n",
     "cuisines_df.head()"
    ]
@@ -263,7 +240,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**അസ خیل**:  \nഈ രേഖ AI പരിഭാഷാ සේവയായ [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് പരിഭാഷ ചെയ്തിരിക്കുന്നു. നാം കൃത്യതയ്ക്ക് ശ്രമിച്ചെങ്കിലും, സ്വയംസംവൃത്തമായ പരിഭാഷകളിൽ പിഴവുകൾ അല്ലെങ്കിൽ തെറ്റുകൾ ഉണ്ടാകാൻ സാധ്യതയുണ്ട്. യഥാർത്ഥ രേഖ അത് രേഖപ്പെടുത്തിയ സസ്വഭാവ ഭാഷയിലാണ് ഔദ്യോഗിക ഉറവിടമെന്ന നിലയിൽ കണക്കാക്കപ്പെടേണ്ടത്. നിർണായക വിവരങ്ങൾക്ക് പ്രൊഫഷണൽ മനുഷ്യ പരിഭാഷ ശുപാർശ ചെയ്യപ്പെടുന്നു. ഈ പരിഭാഷ ഉപയോഗിച്ചതിൽ നിന്നുണ്ടാകുന്ന ഏതൊരു തെറ്റിദ്ധാരണകൾക്കും ഞങ്ങൾ ഉത്തരവാദിത്വം വഹിക്കുന്നില്ല.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
+    "---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**പരിഹാരഘോഷണം**:  \nഈ ഡോക്യുമെന്റ് AI വിവർത്തന സർവീസ് [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് വിവർത്തനം ചെയ്തതാണ്. ഞങ്ങൾ കൃത്യതയ്ക്ക് പരിശ്രമിക്കുമ്പോഴും, ഓട്ടോമേറ്റഡ് വിവർത്തനങ്ങളിൽ പിശകുകൾ അല്ലെങ്കിൽ തെറ്റുകൾ ഉണ്ടാകാമെന്ന് ദയവായി ശ്രദ്ധിക്കുക. പ്രാഥമിക ഭാഷയിലെ മൊഴിയിലെ മുഖ്യ ഡോക്യുമെന്റ് പ്രാമാണികമായ ഉറവിടമായി പരിഗണിക്കണമെന്നും വിശേഷഗ്യം വിവരങ്ങൾക്ക് പ്രൊഫഷണൽ മനുഷ്യ വിവർത്തനം നിർദ്ദേശിക്കുന്നുണ്ടെന്നും അറിയിക്കുന്നു. ഈ വിവർത്തനത്തിന്റെ ഉപയോഗത്തിൽനിന്നുണ്ടാകുന്ന ഏതെങ്കിലും തെറ്റുപറച്ചിലുകളോ പിശകുകളോ നമ്മൾയ്ക്ക് ഉത്തരവാദിത്വമില്ല.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
    ]
   }
  ],
diff --git a/translations/te/.co-op-translator.json b/translations/te/.co-op-translator.json
index f13170d07..5206c1ffb 100644
--- a/translations/te/.co-op-translator.json
+++ b/translations/te/.co-op-translator.json
@@ -210,8 +210,8 @@
     "language_code": "te"
   },
   "4-Classification/3-Classifiers-2/solution/notebook.ipynb": {
-    "original_hash": "70f41fe4fd4253adb44cd9d291406e4f",
-    "translation_date": "2026-02-28T10:51:17+00:00",
+    "original_hash": "382c1f542f31fcc58137ce6d14751413",
+    "translation_date": "2026-04-24T11:28:18+00:00",
     "source_file": "4-Classification/3-Classifiers-2/solution/notebook.ipynb",
     "language_code": "te"
   },
diff --git a/translations/te/4-Classification/3-Classifiers-2/solution/notebook.ipynb b/translations/te/4-Classification/3-Classifiers-2/solution/notebook.ipynb
index 3e62e9562..fbdb9ad1b 100644
--- a/translations/te/4-Classification/3-Classifiers-2/solution/notebook.ipynb
+++ b/translations/te/4-Classification/3-Classifiers-2/solution/notebook.ipynb
@@ -7,46 +7,23 @@
    "cell_type": "markdown",
    "metadata": {}
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dataset Overview\n",
+    "ఈ డేటాసెట్ వ్యక్తిగత నమూనాలను (ఉదాహరణకు, రెసిపీలు) వంటకాల ప్రకారం లేబుల్ చేయబడినవి కలిగి ఉంటుంది.  \n",
+    "ప్రతి పंक्ति ఒకే నమూనా/రికార్డ్‌కు సరిపోతుంది, మరియు కాలమ్స్ వర్గీకరణ కోసం ఉపయోగించే పదార్థాలు లేదా ఇతర లక్షణాలను, సహా `cuisine` లేబుల్‌ను సూచిస్తాయి.\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "   Unnamed: 0 cuisine  almond  angelica  anise  anise_seed  apple  \\\n",
-       "0           0  indian       0         0      0           0      0   \n",
-       "1           1  indian       1         0      0           0      0   \n",
-       "2           2  indian       0         0      0           0      0   \n",
-       "3           3  indian       0         0      0           0      0   \n",
-       "4           4  indian       0         0      0           0      0   \n",
-       "\n",
-       "   apple_brandy  apricot  armagnac  ...  whiskey  white_bread  white_wine  \\\n",
-       "0             0        0         0  ...        0            0           0   \n",
-       "1             0        0         0  ...        0            0           0   \n",
-       "2             0        0         0  ...        0            0           0   \n",
-       "3             0        0         0  ...        0            0           0   \n",
-       "4             0        0         0  ...        0            0           0   \n",
-       "\n",
-       "   whole_grain_wheat_flour  wine  wood  yam  yeast  yogurt  zucchini  \n",
-       "0                        0     0     0    0      0       0         0  \n",
-       "1                        0     0     0    0      0       0         0  \n",
-       "2                        0     0     0    0      0       0         0  \n",
-       "3                        0     0     0    0      0       0         0  \n",
-       "4                        0     0     0    0      0       1         0  \n",
-       "\n",
-       "[5 rows x 382 columns]"
-      ],
-      "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>Unnamed: 0</th>\n      <th>cuisine</th>\n      <th>almond</th>\n      <th>angelica</th>\n      <th>anise</th>\n      <th>anise_seed</th>\n      <th>apple</th>\n      <th>apple_brandy</th>\n      <th>apricot</th>\n      <th>armagnac</th>\n      <th>...</th>\n      <th>whiskey</th>\n      <th>white_bread</th>\n      <th>white_wine</th>\n      <th>whole_grain_wheat_flour</th>\n      <th>wine</th>\n      <th>wood</th>\n      <th>yam</th>\n      <th>yeast</th>\n      <th>yogurt</th>\n      <th>zucchini</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>indian</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>indian</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 382 columns</p>\n</div>"
-     },
-     "metadata": {},
-     "execution_count": 1
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
+    "# Load dataset containing cuisine features\n",
     "cuisines_df = pd.read_csv(\"../../data/cleaned_cuisines.csv\")\n",
     "cuisines_df.head()"
    ]
@@ -124,7 +101,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# వేరువేరు వర్గీకరణకర్తలను ప్రయత్నించండి\n"
+    "# వేర్వేరు వర్గీకర్తలను ప్రయత్నించండి\n"
    ]
   },
   {
@@ -263,7 +240,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**అసూయాపూర్వక మంజూరు**:\nఈ పత్రం AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడినది. మనం ఖచ్చితత్వానికి శ్రమించినప్పటికీ, స్వయంచాలక అనువాదాల్లో తప్పులు లేదా అసత్యతలు ఉండొచ్చు అని దయచేసి గమనించండి. ప్రముఖ భాషలో ఉన్న అసలు పత్రాన్ని అధికారిక మూలంగా పరిగణించాలి. కీలక సమాచారానికి, నిపుణుల చేతి అనువాదం సూచించబడుతుంది. ఈ అనువాదం వాడకంలో జరిగిన ఏవైనా అపవాచనలు లేదా దుష్ప్రతిపత్తుల కోసం మేము బాధ్యతారహితులు.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
+    "---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**నిరాకరణ**:  \nఈ పత్రాన్ని AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మేము ఖచ్చితత్వానికి ప్రయత్నిస్తూనే ఉన్నప్పటికీ, ఆటోమేటెడ్ అనువాదంలో తప్పులు లేదా కరిగికొన్న విషయాలు ఉండవచ్చు. ములున భాషలో ఉన్న అసలు పత్రం అధికారిక మూలంగా పరిగణించబడాలి. కీలక సమాచారానికి, నిపుణుల మానవ అనువాదం సిఫార్సు చేయబడుతుంది. ఈ అనువాదం వాడుకలో ఎలాంటి తప్పుదూషణలు లేదా తప్పు అర్థాలు వచ్చినా మేము బాధ్యులు కాబోము.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
    ]
   }
  ],