add second notebook and related images
Kevin Markham
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{
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"metadata": {
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"name": "",
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"signature": "sha256:762906f449424ec70e2324ab7310748fcbe613b98d4fdbfbe3c219b793aef8a3"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"worksheets": [
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Setting up Python for machine learning: scikit-learn and IPython Notebook\n",
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"*From the video series: [Introduction to machine learning with scikit-learn](https://github.com/justmarkham/scikit-learn-videos)*"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Agenda\n",
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"\n",
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"- What are the benefits and drawbacks of scikit-learn?\n",
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"- How do I install scikit-learn?\n",
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"- How do I use the IPython Notebook?\n",
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"- What are some good resources for learning Python?"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Benefits and drawbacks of scikit-learn\n",
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"\n",
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"### Benefits:\n",
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"\n",
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"- **Consistent interface** to machine learning models\n",
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"- Provides many **tuning parameters** but with **sensible defaults**\n",
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"- Exceptional **documentation**\n",
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"- Rich set of functionality for **companion tasks**\n",
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"- **Active community** for development and support\n",
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"\n",
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"### Potential drawbacks:\n",
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"\n",
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"- Harder (than R) to **get started with machine learning**\n",
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"- Less emphasis (than R) on **model interpretability**\n",
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"\n",
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"### Further reading:\n",
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"\n",
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"- Ben Lorica: [Six reasons why I recommend scikit-learn](http://radar.oreilly.com/2013/12/six-reasons-why-i-recommend-scikit-learn.html)\n",
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"- scikit-learn authors: [API design for machine learning software](http://arxiv.org/pdf/1309.0238v1.pdf)\n",
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"- Data School: [Should you teach Python or R for data science?](http://www.dataschool.io/python-or-r-for-data-science/)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Installing scikit-learn\n",
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"\n",
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"**Option 1:** [Install scikit-learn library](http://scikit-learn.org/stable/install.html) and dependencies (NumPy and SciPy)\n",
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"\n",
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"**Option 2:** [Install Anaconda distribution](https://store.continuum.io/cshop/anaconda/) of Python, which includes:\n",
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"\n",
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"- Hundreds of useful packages (including scikit-learn)\n",
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"- IPython and IPython Notebook\n",
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"- conda package manager\n",
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"- Spyder IDE"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Using the IPython Notebook\n",
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"\n",
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"### Components:\n",
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"\n",
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"- **IPython interpreter:** enhanced version of the standard Python interpreter\n",
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"- **Browser-based notebook interface:** weave together code, formatted text, and plots\n",
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"\n",
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"### Installation:\n",
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"\n",
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"- **Option 1:** [Install IPython and the notebook](http://ipython.org/install.html)\n",
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"- **Option 2:** Included with the Anaconda distribution\n",
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"\n",
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"### Launching the Notebook:\n",
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"\n",
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"- Type **ipython notebook** at the command line to open the dashboard\n",
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"- Don't close the command line window while the Notebook is running\n",
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"\n",
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"### Keyboard shortcuts:\n",
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"\n",
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"**Command mode** (gray border)\n",
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"\n",
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"- Create new cells above (**a**) or below (**b**) the current cell\n",
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"- Navigate using the **up arrow** and **down arrow**\n",
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"- Convert the cell type to Markdown (**m**) or code (**y**)\n",
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"- See keyboard shortcuts using **h**\n",
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"- Switch to Edit mode using **Enter**\n",
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"\n",
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"**Edit mode** (green border)\n",
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"\n",
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"- **Ctrl+Enter** to run a cell\n",
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"- Switch to Command mode using **Esc**\n",
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"\n",
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"### IPython and Markdown resources:\n",
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"\n",
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"- [nbviewer](http://nbviewer.ipython.org/): view notebooks online as static documents\n",
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"- [IPython documentation](http://ipython.org/ipython-doc/stable/index.html): focuses on the interpreter\n",
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"- [IPython Notebook tutorials](http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Notebook/Index.ipynb): in-depth introduction\n",
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"- [GitHub's Mastering Markdown](https://guides.github.com/features/mastering-markdown/): short guide with lots of examples"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Resources for learning Python\n",
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"\n",
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"- [Codecademy's Python course](http://www.codecademy.com/en/tracks/python): browser-based, tons of exercises\n",
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"- [DataQuest](https://dataquest.io/missions): browser-based, teaches Python in the context of data science\n",
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"- [Google's Python class](https://developers.google.com/edu/python/): slightly more advanced, includes videos and downloadable exercises (with solutions)\n",
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"- [Python for Informatics](http://www.pythonlearn.com/): beginner-oriented book, includes slides and videos"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Comments or Questions?\n",
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"\n",
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"- Email: <kevin@dataschool.io>\n",
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"- Website: http://dataschool.io\n",
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"- Twitter: [@justmarkham](https://twitter.com/justmarkham)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"from IPython.core.display import HTML\n",
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"def css_styling():\n",
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" styles = open(\"styles/custom.css\", \"r\").read()\n",
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" return HTML(styles)\n",
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"css_styling()"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<style>\n",
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" @font-face {\n",
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" font-family: \"Computer Modern\";\n",
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" src: url('http://mirrors.ctan.org/fonts/cm-unicode/fonts/otf/cmunss.otf');\n",
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" }\n",
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" div.cell{\n",
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" width: 90%;\n",
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"/* margin-left:auto;*/\n",
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"/* margin-right:auto;*/\n",
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" }\n",
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" ul {\n",
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" line-height: 145%;\n",
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" font-size: 90%;\n",
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" }\n",
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" li {\n",
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" margin-bottom: 1em;\n",
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" }\n",
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" h1 {\n",
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" font-family: Helvetica, serif;\n",
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" }\n",
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" h4{\n",
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" margin-top: 12px;\n",
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" margin-bottom: 3px;\n",
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" }\n",
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" div.text_cell_render{\n",
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" font-family: Computer Modern, \"Helvetica Neue\", Arial, Helvetica, Geneva, sans-serif;\n",
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" line-height: 145%;\n",
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" font-size: 130%;\n",
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" width: 90%;\n",
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" margin-left:auto;\n",
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" margin-right:auto;\n",
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" }\n",
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" .CodeMirror{\n",
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" font-family: \"Source Code Pro\", source-code-pro,Consolas, monospace;\n",
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" }\n",
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"/* .prompt{\n",
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" display: None;\n",
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" }*/\n",
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" .text_cell_render h5 {\n",
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" font-weight: 300;\n",
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" font-size: 16pt;\n",
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" color: #4057A1;\n",
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" font-style: italic;\n",
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" margin-bottom: 0.5em;\n",
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" margin-top: 0.5em;\n",
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" display: block;\n",
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" }\n",
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"\n",
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" .warning{\n",
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" color: rgb( 240, 20, 20 )\n",
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" }\n",
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"</style>\n",
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"<script>\n",
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" MathJax.Hub.Config({\n",
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" TeX: {\n",
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" extensions: [\"AMSmath.js\"]\n",
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" },\n",
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" tex2jax: {\n",
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" inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
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" displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\n",
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" },\n",
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" displayAlign: 'center', // Change this to 'center' to center equations.\n",
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" \"HTML-CSS\": {\n",
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" styles: {'.MathJax_Display': {\"margin\": 4}}\n",
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" }\n",
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" });\n",
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"</script>"
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 1,
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"text": [
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"<IPython.core.display.HTML at 0x3fe4240>"
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]
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}
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],
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"prompt_number": 1
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}
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],
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"metadata": {}
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}
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]
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}
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