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Update 2_0_1_Objectives.ipynb

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@ -4,7 +4,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"![](files/images/EscUpmPolit_p.gif \"UPM\")" "![](./images/EscUpmPolit_p.gif \"UPM\")"
] ]
}, },
{ {
@ -40,10 +40,10 @@
"\n", "\n",
"* Learn to use scikit-learn\n", "* Learn to use scikit-learn\n",
"* Learn the basic steps to apply machine learning techniques: dataset analysis, load, preprocessing, training, validation, optimization and persistence.\n", "* Learn the basic steps to apply machine learning techniques: dataset analysis, load, preprocessing, training, validation, optimization and persistence.\n",
"* Learn how to do a exploratory data analysis\n", "* Learn how to do an exploratory data analysis\n",
"* Learn how to visualise a dataset\n", "* Learn how to visualise a dataset\n",
"* Learn how to load a bundled dataset\n", "* Learn how to load a bundled dataset\n",
"* Learn how to separate the dataset into traning and testing datasets\n", "* Learn how to separate the dataset into training and testing datasets\n",
"* Learn how to train a classifier\n", "* Learn how to train a classifier\n",
"* Learn how to predict with a trained classifier\n", "* Learn how to predict with a trained classifier\n",
"* Learn how to evaluate the predictions\n", "* Learn how to evaluate the predictions\n",
@ -71,7 +71,7 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## LIcence\n", "## LIcence\n",
"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n", "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"\n", "\n",
"© Carlos A. Iglesias, Universidad Politécnica de Madrid." "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
] ]