Cure Aging with AI - Part 2/6 Machine Learning Models

This meeting will be divided into two halfs; a theoretical and practical coding part.

It will cover step 2/6 of our project to reproduce the AI study:
'Predicting age from the transcriptome of human dermal fibroblasts'
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-018-1599-6

Part #1 - Theory
will address 3 main topics:

1. Explanation and comparison of the 3 machine learning models used in the code; LinearRegression, ElasticNet, SVM.
2. Introduction into the machine learning library Scikit-Learn
3. Analysis of one machine learning class used in the project code. Either LinearRegression, ElasticNet or SVM. You will learn what functions are defined in the class, what their input and output is, where they are called etc.

Part #2- Coding
We will split into small groups of 3-4 people to reproduce one of the machine learning classes.