Appendix: DSDJ Links

• https://www.analyticsvidhya.com/blog/2017/09/6-probability-distributions-data-science/
• http://fmwww.bc.edu/repec/bocode/t/transint.html
• https://python-graph-gallery.com/
• https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/unlocking-the-power-of-data-in-sales
• https://cntk.ai/pythondocs/CNTK_104_Finance_Timeseries_Basic_with_Pandas_Numpy.html
• http://brucehardie.com/papers/018/fader_et_al_mksc_05.pdf
• http://benalexkeen.com/bg-nbd-model-for-customer-base-analysis-in-python/
• http://danielweitzenfeld.github.io/passtheroc/blog/2015/01/19/s-b-g/
• https://courses.analyticsvidhya.com/courses/a-comprehensive-learning-path-for-deep-learning-in-2019/?utm_source=facebook.com&utm_medium=social
• https://courses.analyticsvidhya.com/courses/a-comprehensive-learning-path-to-become-a-data-scientist-in-2019/?utm_source=facebook.com&utm_medium=social
• https://courses.analyticsvidhya.com/courses/Intro-to-NLP?utm_source=facebook.com&utm_medium=social
• https://courses.analyticsvidhya.com/courses/Introduction-to-Neural-Networks?utm_source=facebook.com&utm_medium=social
• https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b
• https://www.digitalocean.com/community/tutorials/a-guide-to-time-series-forecasting-with-arima-in-python-3
• https://www.digitalocean.com/community/tutorials/a-guide-to-time-series-forecasting-with-prophet-in-python-3
• https://www.pecan.ai/resources/data-scientist-and-the-ceo-a-new-important-relationship-pecan
• https://machinelearningmastery.com/sarima-for-time-series-forecasting-in-python/
• https://www.datascience.com/blog/production-level-code-for-data-science