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24 | 24 | - [Table of Contents and Code Notebooks](https://github.com/rasbt/python-machine-learning-book/blob/master/README.md#table-of-contents-and-code-notebooks)
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25 | 25 | - [Machine Learning with scikit learn](http://www.dataschool.io/machine-learning-with-scikit-learn/)
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26 | 26 | - [Cheatsheet](http://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/)
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27 |
| - |
| 27 | +- [**How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn?**](http://stackoverflow.com/questions/31421413/how-to-compute-precision-recall-accuracy-and-f1-score-for-the-multiclass-case) |
28 | 28 |
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29 | 29 | ##scikit-learn
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30 | 30 | - [Wiki](https://en.wikipedia.org/wiki/Scikit-learn)
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31 | 31 | - [**Introduction to machine learning with scikit-learn**](https://github.com/justmarkham/scikit-learn-videos), [**Videos!**](http://blog.kaggle.com/author/kevin-markham/)
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32 | 32 | - [**A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library**](http://machinelearningmastery.com/a-gentle-introduction-to-scikit-learn-a-python-machine-learning-library/)
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33 | 33 | - [**PyData Seattle 2015 Scikit-learn Tutorial**](https://github.com/jakevdp/sklearn_pydata2015), [sklearn_scipy2013](https://github.com/jakevdp/sklearn_scipy2013)
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34 | 34 | - [SKLEARN BENCHMARKS: A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.](https://github.com/rhiever/sklearn-benchmarks)
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| 35 | +- [](http://stackoverflow.com/questions/11116697/how-to-get-most-informative-features-for-scikit-learn-classifiers) |
35 | 36 | - [**Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark**](https://github.com/mapr-demos/spark-sklearn-airbnb-predict)
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36 | 37 | - [**ML with scikit learn**](http://amueller.github.io/sklearn_tutorial/)
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37 | 38 | - [Parallel and Large Scale Machine Learning with scikit-learn](https://speakerdeck.com/ogrisel/parallel-and-large-scale-machine-learning-with-scikit-learn), [Meetup](http://datasciencelondon.org/machine-learning-python-scikit-learn-ipython-dsldn-data-science-london-kaggle/)
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47 | 48 | ##Logistic Regression
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48 | 49 | - [Logistic Regression with scikit learn](http://www.dataschool.io/logistic-regression-in-python-using-scikit-learn/)
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49 | 50 | - [Implementing the softmax function in Python](http://stackoverflow.com/questions/34968722/softmax-function-python)
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| 51 | +- [**What is the inverse of regularization strength in Logistic Regression? How should it affect my code?**](http://stackoverflow.com/questions/22851316/what-is-the-inverse-of-regularization-strength-in-logistic-regression-how-shoul) |
50 | 52 | - [The Yhat Blog: Logistic Regression in Python](http://blog.yhat.com/posts/logistic-regression-and-python.html)
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51 | 53 | - [Example of logistic regression in Python using scikit-learn](http://www.dataschool.io/logistic-regression-in-python-using-scikit-learn/)
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52 | 54 | - [TUTORIAL ON LOGISTIC REGRESSION AND OPTIMIZATION IN PYTHON](https://learningwithdata.wordpress.com/2015/04/30/tutorial-on-logistic-regression-and-optimization-in-python/)
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53 | 55 | - [Using Logistic Regression in Python for Data Science](http://www.dummies.com/how-to/content/using-logistic-regression-in-python-for-data-scien.html)
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54 | 56 |
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55 |
| -#k Nearest Neighbours |
| 57 | +##k Nearest Neighbours |
56 | 58 | - [A good tutorial on implementing K Nearest Neighbors using scikit learn](http://scikit-learn.org/stable/modules/neighbors.html)
|
| 59 | +- [**Is it possible to specify your own distance function using scikit-learn K-Means Clustering?**](http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikit-learn-k-means) |
57 | 60 | - [Tutorial To Implement k-Nearest Neighbors in Python From Scratch](http://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-python-from-scratch/)
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58 | 61 | - [Implementing your own k-nearest neighbour algorithm using Python](https://blog.cambridgecoding.com/2016/01/16/machine-learning-under-the-hood-writing-your-own-k-nearest-neighbour-algorithm/)
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59 | 62 | - [knn Python implementation on StackOverflow](http://stackoverflow.com/questions/5565935/k-nearest-neighbour-in-python)
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60 | 63 | - [kNN with big sparse matrices in Python](http://stackoverflow.com/questions/20333092/knn-with-big-sparse-matrices-in-python)
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61 | 64 | - [Sklearn kNN usage with a user defined metric](http://stackoverflow.com/questions/21052509/sklearn-knn-usage-with-a-user-defined-metric)
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62 | 65 |
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| 66 | + |
| 67 | + |
63 | 68 | ##Neural Networks
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64 | 69 | - [Implementing a Neural Network from scratch](http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/), [Code](https://github.com/dennybritz/nn-from-scratch)
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65 | 70 | - [Speeding up your Neural Network with Theano and the gpu](http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/), [Code](https://github.com/dennybritz/nn-theano)
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