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{
"cells": [
{
"cell_type": "markdown",
"id": "4ecafd98",
"metadata": {},
"source": [
"# Assignment 3: Feature Engineering - Encoding Categorical Data\n",
"Create a function to encode categorical variables in a dataset using one-hot encoding.\n",
"Dataset contains student info with grades (A, B, C) and gender (M, F)."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "44ac96ce",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
" \n",
" # Synthetic dataset\n",
"data = {\n",
" 'student': ['Alice', 'Bob', 'Charlie'],\n",
" 'grade': ['A', 'B', 'C'],\n",
" 'gender': ['F', 'M', 'F']\n",
" }\n",
"df = pd.DataFrame(data)\n",
"\n",
" # One-hot encoding\\n\",\n",
"df_encoded = pd.get_dummies(df, columns=['grade', 'gender']) \n",
"print(df_encoded)\n",
" \n",
" # Error: Trying to access non-existent column\\n\",\n",
"print(df_encoded['grade_D'])"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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