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ML-For-Beginners
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Merge branch 'main' of https://github.com/PaskalSunari/ML-For-Beginners into ML-Patch-2

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pull/872/head
Paskal 3 months ago
parent 724f5d47fe ab514ef202
commit 483e8e00ba
3 changed files with 62 additions and 1744 deletions
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1516
2-Regression/1-Tools/notebook.ipynb
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46
2-Regression/2-Data/notebook.ipynb
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@ -9,7 +9,7 @@
}, },
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{ {
@ -207,7 +207,7 @@
"[5 rows x 26 columns]" "[5 rows x 26 columns]"
] ]
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"execution_count": 19, "execution_count": 4,
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@ -220,20 +220,42 @@
}, },
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{ {
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@ -244,7 +266,7 @@
}, },
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@ -266,7 +288,7 @@
}, },
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{ {
@ -290,7 +312,7 @@
}, },
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{ {
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"Text(0, 0.5, 'Pumpkin Price')" "Text(0, 0.5, 'Pumpkin Price')"
] ]
}, },
"execution_count": 23, "execution_count": 9,
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4-Classification/1-Introduction/notebook.ipynb
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"source": [ "source": [
"# Delicious Asian and Indian Cuisines " "# Delicious Asian and Indian Cuisines "
] ]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl\n",
"import numpy as np\n",
"from imblearn.over_sampling import SMOTE"
]
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{
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" <th>apricot</th>\n",
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],
"text/plain": [
" Unnamed: 0 cuisine almond angelica anise anise_seed apple \\\n",
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"1 66 indian 1 0 0 0 0 \n",
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"3 68 indian 0 0 0 0 0 \n",
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" 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",
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"\n",
"[5 rows x 385 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('../data/cuisines.csv')\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 2448 entries, 0 to 2447\n",
"Columns: 385 entries, Unnamed: 0 to zucchini\n",
"dtypes: int64(384), object(1)\n",
"memory usage: 7.2+ MB\n"
]
}
],
"source": [
"df.info()"
]
} }
], ],
"metadata": { "metadata": {

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