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- Linear regression via the least squares fit method [[IPython nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/statistics/linregr_least_squares_fit.ipynb)]
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- Linear regression via the least squares fit method [[Jupyter nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/statistics/linregr_least_squares_fit.ipynb)]
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- Dixon's Q test to identify outliers for small sample sizes [[IPython nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/statistics/dixon_q_test.ipynb)]
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- Dixon's Q test to identify outliers for small sample sizes [[Jupyter nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/statistics/dixon_q_test.ipynb)]
@@ -53,20 +53,20 @@ If you have any suggestions or want to make additions, I would be very happy if
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### Geometry
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- Counting points inside a hypercube [[IPython nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/geometry/points_in_hybercube.ipynb)]
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- Counting points inside a hypercube [[Jupyter nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/geometry/points_in_hybercube.ipynb)]
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- Vectorizing a classic `for`-loop in NumPy for calculating Euclidean distances [[IPython nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/geometry/eucldist_numpy_vectorization.ipynb)]
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- Vectorizing a classic `for`-loop in NumPy for calculating Euclidean distances [[Jupyter nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/geometry/eucldist_numpy_vectorization.ipynb)]
- Finding the Maximum Pairwise Product [[IPython nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/efficiency/maximum-pairwise-product.ipynb)]
- Greatest Common Divisor [[IPython nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/efficiency/greatest-common-divisor.ipynb)]
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- Finding the Maximum Pairwise Product [[Jupyter nbviewer ](http://nbviewer.ipython.org/github/rasbt/algorithms_in_ipython_notebooks/blob/master/ipython_nbs/efficiency/maximum-pairwise-product.ipynb)]
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