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Carlos A. Iglesias 2016-04-05 16:34:35 +02:00
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ml2/3_3_Data_Munging_with_Pandas.ipynb
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@ -61,7 +61,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"[**Data munging**](https://en.wikipedia.org/wiki/Data_wrangling) or data wrangling is loosely the process of manually converting or mapping data from one \"raw\" form into another format that allows for more convenient consumption of the data with the help of semi-automated tools.\n", "[**Data munging**](https://en.wikipedia.org/wiki/Data_wrangling) or data wrangling is loosely the process of manually converting or mapping data from one \"raw\" form (*datos en bruto*) into another format that allows for more convenient consumption of the data with the help of semi-automated tools.\n",
"\n", "\n",
"*Scikit-learn* estimators which assume that all values are numerical. This is a common in many machine learning libraries. So, we need to preprocess our raw dataset. \n", "*Scikit-learn* estimators which assume that all values are numerical. This is a common in many machine learning libraries. So, we need to preprocess our raw dataset. \n",
"Some of the most common tasks are:\n", "Some of the most common tasks are:\n",