Section outline

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    Statistics and Machine Learning for Life Sciences

    streamed from Basel, 09-10 December 2021

    This page is addressed to registered participants. To access course description and application form, please click here.

    For any assistance, please contact training@sib.swiss.

  • Technicalities

    Please ensure that the following tools are installed on your machine PRIOR to the course:
    - one of the latest Python 3 distributions (preferably above or equal to python 3.8), for instance installed with conda
    - the scipy library (NB: if you installed conda, then this library is already installed)
    - the scikitLearn library
    - the statsmodels library

  • Schedule

    Thursday 09/12:

    09:00 : beginning of the day - greetings

    • getting to know each other

    • 10’ break around 10:30

    • Ordinary Least Square regression 

    12:30 - 13:30 : lunch break

    • Introduction to Generalized Linear Models (10’ break around 15:30)

    17:00 : end of the day - discussion


    Friday 10/12:

    09:00 : beginning of the day - greetings

    • From Regression to the Machine Learning Pipeline (10’ break around 10:30)

    12:30 - 13:30 : lunch break

    • Machine Learning : SVM, Decision Trees and Random Forest (10’ break around 15:30)

    • Discussion

    17:00 : end of the day