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"# PyCon 2015 Scikit-Learn Tutorial Index\n",
"\n",
"This is the main index of the PyCon 2015 Introduction to Scikit-Learn tutorial, presented by [Jake VanderPlas](http://www.vanderplas.com).\n",
"Please refer to the [github repository](http://github.com/jakevdp/sklearn_pycon2015) for this tutorial for any updates."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Tutorial Video\n",
"\n",
"All PyCon tutorials are filmed; video of this tutorial is available [here](https://www.youtube.com/watch?v=L7R4HUQ-eQ0)."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import YouTubeVideo\n",
"YouTubeVideo('L7R4HUQ-eQ0')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
" \n",
" "
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"output_type": "pyout",
"prompt_number": 1,
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""
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"source": [
"## Tutorial Notebooks\n",
"\n",
"The following links are to notebooks containing the tutorial materials.\n",
"Note that many of these require files that are in the directory structure of the [github repository](http://github.com/jakevdp/sklearn_pycon2015) in which they are contained.\n",
"There is not time during the tutorial to cover all of this material, but I left it in in case attendees would like to go deeper on their own.\n",
"\n",
"### 1. Preliminaries\n",
"\n",
" + [01-Preliminaries.ipynb](01-Preliminaries.ipynb)\n",
" \n",
"### 2. Introduction to Machine Learning with Scikit-Learn\n",
"\n",
" + [02.1-Machine-Learning-Intro.ipynb](02.1-Machine-Learning-Intro.ipynb)\n",
" + [02.2-Basic-Principles.ipynb](02.2-Basic-Principles.ipynb)\n",
" \n",
"### 3. Supervised Learning In-Depth\n",
"\n",
" + [03.1-Classification-SVMs.ipynb](03.1-Classification-SVMs.ipynb)\n",
" + [03.2-Regression-Forests.ipynb](03.2-Regression-Forests.ipynb)\n",
"\n",
"### 4. Unsupervised Learning In-Depth\n",
"\n",
" + [04.1-Dimensionality-PCA.ipynb](04.1-Dimensionality-PCA.ipynb)\n",
" + [04.2-Clustering-KMeans.ipynb](04.2-Clustering-KMeans.ipynb)\n",
" + [04.3-Density-GMM.ipynb](04.3-Density-GMM.ipynb)\n",
" \n",
"### 5. Model Validation In-Depth\n",
"\n",
" + [05-Validation.ipynb](05-Validation.ipynb)"
]
}
],
"metadata": {}
}
]
}