04.4_Bonus_Additional_reading_resources.ipynb

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    "## Bonus: Additional reading resources\n",
    "\n",
    "### Further reading on the importance of feature scaling\n",
    "\n",
    "- [Should I normalize/standardize/rescale the data?](http://www.faqs.org/faqs/ai-faq/neural-nets/part2/section-16.html)\n",
    "- [Efficient BackProp by Yann LeCun](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf)\n",
    "- [Standardization and Its Effects on K -Means Clustering Algorithm](http://maxwellsci.com/print/rjaset/v6-3299-3303.pdf)\n",
    "- [Feature scaling in support vector data description]](http://rduin.nl/papers/asci_02_occ.pdf)\n",
    "\n",
    "### Further reading on linear and non-linear models\n",
    "\n",
    "- [An introduction to Statistical Learning]](http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf)\n",
    "- [Elements of Statistical Learning]](http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf)\n",
    "\n",
    "\n",
    "### More on Q-Q Plots\n",
    "\n",
    "- [Q-Q Plots in wiki](https://en.wikipedia.org/wiki/Q%E2%80%93Q_plot)\n",
    "- [How to interpret a Q-Q plot](https://en.wikipedia.org/wiki/Q%E2%80%93Q_plot)\n",
    "- [Q-Q Plot visualisation tool](https://xiongge.shinyapps.io/QQplots/)\n",
    "\n",
    "### Kaggle kernels on the Sale Price dataset\n",
    "\n",
    "- [Comprehensive Data Exploration](https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python)"
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