Update table with last seminar

README.md

@@ -88,6 +88,7 @@ Date | Description | Materials | Links | Video (in Russian)
 2018.11.07 | Introduction to Astropy. Constants, units, quantities. Coordinates: sky coordinates, Earth coordinates, rtansformations beetween frames. Breif introduction to `astropy.io`: FITS ans ASCII. | [Jupyter notebooks](https://github.com/hombit/scientific_python/blob/master/misc/jupyter_notebooks/18.11.07/) | [`astropy` docs](http://docs.astropy.org/en/stable/): [tutorials](http://tutorials.astropy.org/), [`constants`](http://docs.astropy.org/en/stable/constants/), [`units`](http://docs.astropy.org/en/stable/units/index.html), [`io` interface](http://docs.astropy.org/en/stable/io/unified.html), [`coordinates`](http://docs.astropy.org/en/stable/coordinates/index.html) | [link](https://www.youtube.com/watch?v=9wuodNtLj2M)
 2018.11.14 | Least squares method usage with `scipy.optimize`. Module `astroquery` for web-access to astronomical data bases, e.g. Vizier and SIMBAD. Problem of cosmological parameters fit using SN Ia data. | [Jupyter notebooks](https://github.com/hombit/scientific_python/blob/master/misc/jupyter_notebooks/18.11.14/) | [`scipy.optimize` tutorial](https://docs.scipy.org/doc/scipy/reference/tutorial/optimize.html), [`lmfit`](https://lmfit.github.io/lmfit-py/index.html) module with pretty interface for least squares. `astroquery` [docs](https://astroquery.readthedocs.io/): [A Gallery of Queries](https://astroquery.readthedocs.io/en/latest/gallery.html), [GAIA via TAP+](https://astroquery.readthedocs.io/en/latest/gaia/gaia.html), [SIMBAD](https://astroquery.readthedocs.io/en/latest/simbad/simbad.html), [Vizier](https://astroquery.readthedocs.io/en/latest/vizier/vizier.html) | [link](https://www.youtube.com/watch?v=tSVGrkP7lRI)
 2018.11.21 | Sky coordinate match: `astropy.coordinates`. Problem of transient object discovery on FITS image: `photutils`, `astroquery`, `astropy.wcs` and `astropy.coordinates` | [Jupyter notebooks](https://github.com/hombit/scientific_python/blob/master/misc/jupyter_notebooks/18.11.21/) | `astropy` tutorial [Separations, Catalog Matching, and Related Functionality](http://docs.astropy.org/en/stable/coordinates/matchsep.html), `photutils` [docs](https://photutils.readthedocs.io/): [source detection](https://photutils.readthedocs.io/en/stable/detection.html), [aperture photometry](https://photutils.readthedocs.io/en/stable/aperture.html) | [link](https://www.youtube.com/watch?v=XsavdJrrve4)
+2018.11.28 | Student [Alexey Nikonov](https://github.com/nikonalesheo) tells about annotation and animation in `matplotlib`. Machine learning in Python | [Jupyter notebooks](https://github.com/hombit/scientific_python/blob/master/misc/jupyter_notebooks/18.11.28/) | [`matplotlib` annotation guide](https://matplotlib.org/users/annotations.html), [Matplotlib Animation Tutorial](https://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/). `scikit-learn`: [quick start](https://scikit-learn.org/stable/tutorial/basic/tutorial.html), [choosing the right estimator](https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html). ["Introduction to machine learning" on Coursera](https://www.coursera.org/learn/vvedenie-mashinnoe-obuchenie) (in Russian) | [link](https://youtu.be/Reew2gaIpx8)
 
 
 # Classes materials (2017)