This repo aiming to follow the treatment process of an ML problem. This problem is seperate into regression and classification problem. It deal with evaluate the API (apnea index) of a patient considering his age, gender, weight, hight and cervical larger.
The process will be sepereted into different notebook where each one will implement and use a different model. Beginning with simple linear regression and evolve step by step to try get good results.
This repos containing :
-
Dataset folder which containing to xml files.
-
Notebooks folder
-
Report Folder Where I quickly present the aim of the project and how I managed to solve the problem. It's is composed by two report entiltled 'PRDL' and 'MLLB'. The PRDL report aim to present the ML approaches in a theorical way where the 'MLLB' present how I implemented those ideas in google colab using differents python libraries specialized in ML.