Dear Sander:
This course will be a mixed of introduction to data science and introduction to statistical machine learning. *Topics to be covered (tentative)* -Data preparation -Exploratory data analysis and visualization -Cluster and classification (Supervised and unsupervised learning algorithms ) -Principal component -Factor analysis -Logistic regression -Decision trees -Association rules -Model assessment -Classification -Bootstrap aggregation -Shrinkage regression with many thanks abou ______________________ *AbouEl-Makarim Aboueissa, PhD* *Professor of Statistics* *Department of Mathematics and Statistics* *University of Southern Maine* On Wed, Dec 6, 2017 at 9:33 AM, Sander <[email protected]> wrote: > Dear Abou, > > Do you have a list of topics you'd like to discuss? > > Kind regards, > Sander > > On Wed, Dec 6, 2017 at 2:57 PM, AbouEl-Makarim Aboueissa < > [email protected]> wrote: > >> Dear All: good morning >> >> >> I am planning to teach a course in practical data science using R, may be >> in Fall 2018. I am wondering if someone have some materials on data >> science >> such as notes, R codes, and etc. >> >> It will be highly appreciated if they are willing to share such materials >> with others. >> >> >> with many thanks >> abou >> ______________________ >> >> >> *AbouEl-Makarim Aboueissa, PhD* >> >> *Professor of Statistics* >> >> *Department of Mathematics and Statistics* >> *University of Southern Maine* >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> [email protected] mailing list >> https://stat.ethz.ch/mailman/listinfo/r-sig-teaching >> > > [[alternative HTML version deleted]] _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
