SUB EN, FR Logistic regression with scikit learn in Python, Task 2, Master Course AI4 Omics
Github Repository: Presentation of the practical session: Task 2 Solution and explanations This video presents a practical session of the Master Course Unit AI for Omics Data Integration of the University of Grenoble Alps. It is a part of the Master Program AI4OneHealth. The objective of this session is to develop practical skills in omics RNAseq data analysis using machine learning techniques. We use Python programming language and the machine learning framework scikitlearn. The exercises will be present in a format of Jupyter notebooks. This video includes the explanations of the second task that proposes you to create a logistic regression classification model for colon cancer diagnosis. Presented by: Ekaterina Flin, EpiMed group, Institute for Advanced Biosciences (IAB), University of Grenoble Alps (UGA) , logisticregression, scikitlearn, omics Timeline 00:00 Presentation of the Task 2 00:23 Import packages
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