Must Watch Data Science Videos from SciPy Conference 2015
Introduction This was in my first year of engineering degree. A hungry, home-food sick student (me) was treated (by a college senior) with a lavish buffet in one of the best five star hotels in Mumbai! You get served with so many dishes that you struggle to decide where to start, what to taste and what to eat! Why is this relevant here? Well, I had a similar feeling when I looked at the videos fro
scikit-learn: machine learning in Python
Simple and efficient tools for predictive data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license Classification Identifying which category an object belongs to. Applications: Spam detection, image recognition. Algorithms: Gradient boosting, nearest neighbors, random forest, logistic regression, an
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Feature request: dynamic time warping (dtw) function · Issue #7638 · scipy/scipy
https://conference.scipy.org/proceedings/scipy2010/pdfs/seabold.pdf
https://conference.scipy.org/proceedings/scipy2015/pdfs/matthew_rocklin.pdf
