Topic outline

  • 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

      • Material

        • This topic

          Exam

          At the end of the course, you will have the opportunity to take an exam to test your newly acquired skills and earn 0.5 ECTS. 

          The exam consists in a hand-on analysis of a small dataset and should take around 1 to 1.5 hours to complete. 

          You will have 1 week to complete your analysis (deadline 17 Dec 17:00)  and send it to wandrille.duchemin@unibas.ch