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4
translations/bn/.co-op-translator.json
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@ -210,8 +210,8 @@
"language_code": "bn"
},
"4-Classification/3-Classifiers-2/solution/notebook.ipynb": {
"original_hash": "70f41fe4fd4253adb44cd9d291406e4f",
"translation_date": "2026-02-28T11:29:16+00:00",
"original_hash": "382c1f542f31fcc58137ce6d14751413",
"translation_date": "2026-04-24T11:04:04+00:00",
"source_file": "4-Classification/3-Classifiers-2/solution/notebook.ipynb",
"language_code": "bn"
},

49
translations/bn/4-Classification/3-Classifiers-2/solution/notebook.ipynb
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@ -7,46 +7,23 @@
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Dataset Overview\n",
"এই ডেটাসেটটি পৃথক নমুনাগুলি (উদাহরণস্বরূপ, রেসিপি) ধারণ করে যা রান্নার ধরন দ্বারা লেবেল করা হয়েছে।\n",
"প্রতিটি সারি একটি একক নমুনা/রেকর্ডের জন্য এবং কলামগুলি শ্রেণীবিন্যাসের জন্য ব্যবহৃত উপাদান বা অন্যান্য বৈশিষ্ট্য উপস্থাপন করে, যার মধ্যে রয়েছে `cuisine` লেবেল।\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": [
"# বিভিন্ন শ্রেণীবিন্যাসকারী চেষ্টা করুন\n"
"# বিভিন্ন শ্রেণীবিভাজক চেষ্টা করুন\n"
]
},
{
@ -263,7 +240,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**দায়িত্বরহিত ঘোষণা**: \nএই নথিটি AI অনুবাদ সেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনূদিত হয়েছে। আমরা সঠিকতার জন্য চেষ্টা করি, তবে স্বয়ংক্রিয় অনুবাদে ভুল বা অসঙ্গতি থাকতে পারে। আসল নথিটি তার নিজ নিজ ভাষায় কর্তৃত্বপূর্ণ উৎস হিসেবে বিবেচনা করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য পেশাদার মানষী অনুবাদ গ্রহণ করা সুপারিশ করা হয়। এই অনুবাদের ব্যবহারে যে কোনো ভুল বোঝাবুঝি বা ভুল ব্যাখ্যার জন্য আমরা দায়ী নয়।\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**দ্বায়িত্বের অস্বীকার**:\nএই নথিটি AI অনুবাদ সেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনূদিত হয়েছে। আমরা যথাসাধ্য সঠিকতার জন্য চেষ্টা করি, তবে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসংগতির সম্ভাবনা থাকতে পারে তা অনুগ্রহ করে লক্ষ্য করুন। মূল নথিটি এর নিজ ভাষায় কর্তৃত্বপূর্ণ উৎস হিসাবে বিবেচিত হওয়া উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদের ব্যবহারে যে কোনও ভুল বোঝাবুঝি বা ভুল ব্যাখ্যার জন্য আমরা দায়বদ্ধ থাকব না।\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
]
}
],

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translations/mr/.co-op-translator.json
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@ -210,8 +210,8 @@
"language_code": "mr"
},
"4-Classification/3-Classifiers-2/solution/notebook.ipynb": {
"original_hash": "70f41fe4fd4253adb44cd9d291406e4f",
"translation_date": "2026-02-28T11:29:26+00:00",
"original_hash": "382c1f542f31fcc58137ce6d14751413",
"translation_date": "2026-04-24T11:04:15+00:00",
"source_file": "4-Classification/3-Classifiers-2/solution/notebook.ipynb",
"language_code": "mr"
},

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translations/mr/4-Classification/3-Classifiers-2/solution/notebook.ipynb
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@ -2,51 +2,28 @@
"cells": [
{
"source": [
"# अधिक वर्गीकरण मॉडेल तयार करा\n"
"# आणखी वर्गीकरण मॉडेल तयार करा\n"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### डेटासेट अवलोकन\n",
"हा डेटासेट सानुकूल नमुने (उदाहरणार्थ, रेसिपीज) यांना स्वयंपाकशैलीद्वारे लेबल केलेले आहे.\n",
"प्रत्येक ओळ एका नमुना/रेकॉर्डशी संबंधित आहे, आणि स्तंभ वर्गीकरणासाठी वापरल्या जाणार्‍या साहित्य किंवा इतर वैशिष्ट्ये दर्शवितात, ज्यात `cuisine` लेबल देखील समाविष्ट आहे.\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": [
"# वेगवेगळे वर्गीकर्ते प्रयत्न करा\n"
"# विविध वर्गीकारकांशी प्रयत्न करा\n"
]
},
{
@ -263,7 +240,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**स्वत:ची जबाबदारी**:\nहा दस्तऐवज AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून अनुवादित केला आहे. आम्ही अचूकतेसाठी प्रयत्नशील आहोत, परंतु कृपया लक्षात घ्या की स्वयंचलित अनुवादांमध्ये त्रुटी किंवा अचूकतेत कमतरता असू शकते. मूळ दस्तऐवज त्याच्या स्थानिक भाषेत अधिकृत स्रोत मानला जावा. महत्वाची माहिती साठी व्यावसायिक मानवी अनुवाद करण्याचा सल्ला दिला जातो. या अनुवादाच्या वापरामुळे उद्भवलेल्या कोणत्याही गैरसमजुती किंवा चुकीच्या अर्थनिर्णयानबद्दल आम्ही जबाबदार नाही.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**अस्वीकार पत्र**: \nहा दस्तावेज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून भाषांतरित केला आहे. आम्ही अचूकतेसाठी प्रयत्न करतो, तरी कृपया लक्षात घ्या की स्वयंचलित भाषांतरांमध्ये त्रुटी किंवा असत्यता असू शकतात. मूळ दस्तावेज त्याच्या स्थानिक भाषेत अधिकारिक स्रोत मानला जावा. महत्त्वाची माहिती असल्यास, व्यावसायिक मानवी भाषांतर शिफारसीय आहे. या भाषांतराचा वापर केल्यामुळे होणाऱ्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थ लावण्याबद्दल आम्ही जबाबदार नाही.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
]
}
],

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translations/ne/.co-op-translator.json
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@ -210,8 +210,8 @@
"language_code": "ne"
},
"4-Classification/3-Classifiers-2/solution/notebook.ipynb": {
"original_hash": "70f41fe4fd4253adb44cd9d291406e4f",
"translation_date": "2026-02-28T11:29:36+00:00",
"original_hash": "382c1f542f31fcc58137ce6d14751413",
"translation_date": "2026-04-24T11:04:26+00:00",
"source_file": "4-Classification/3-Classifiers-2/solution/notebook.ipynb",
"language_code": "ne"
},

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translations/ne/4-Classification/3-Classifiers-2/solution/notebook.ipynb
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@ -2,51 +2,28 @@
"cells": [
{
"source": [
"# थप वर्गीकरण मोडेलहरू निर्माण गर्नुहोस्\n"
"# थप वर्गीकरण मोडेलहरू बनाउनुहोस्\n"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Dataset Overview\n",
"यस डेटासेटमा व्यक्तिगत नमूनाहरू (जस्तै, परिकारहरू) समावेश छन् जुन भान्साको प्रकारद्वारा लेबल गरिएको छन्।\n",
"हरेक पंक्ति एकल नमूना/रेकर्डसँग मेल खान्छ, र स्तम्भहरूले वर्गीकरणका लागि प्रयोग गरिएका सामग्रीहरू वा अन्य विशेषताहरूलाई प्रतिनिधित्व गर्छन्, जसमा `cuisine` लेबल पनि समावेश छ।\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": [
"# विभिन्न वर्गीकरणहरू प्रयास गर्नुहोस्\n"
"# विभिन्न वर्गीकरणकर्ता प्रयास गर्नुहोस्\n"
]
},
{
@ -263,7 +240,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**अस्वीकरण**:\nयो दस्तावेज AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरी अनुवाद गरिएको हो। हामी सहीताको प्रयास गर्छौं, तर कृपया जानकार हुनुहोस् कि स्वचालित अनुवादमा त्रुटि वा गलतफहमी हुन सक्दछ। मूल दस्तावेज यसको मूल भाषामा आधिकारिक स्रोतको रूपमा मानिनुपर्छ। गम्भीर जानकारीका लागि व्यावसायिक मानवीय अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट कुनै पनि गलत बुझाइ वा व्याख्यामा हामी जिम्मेवार हुँदैनौं।\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**अस्वीकरण**: \nयो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरेर अनुवाद गरिएको हो। हामी यथासंभव शुद्धताको प्रयास गर्छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादमा गल्ती वा असत्यताहरू हुन सक्छन्। मूल दस्तावेज़ यसको स्थानीय भाषामा अधिकारिक स्रोत मान्नुपर्नेछ। महत्वपूर्ण जानकारीका लागि, व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न कुनै पनि भ्रम वा गलत व्याख्याको लागि हामी जिम्मेवार छैनौं।\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
]
}
],

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