Homework

This report analyzes data collected from accelerometer sensors on the belt, arm, forearm, and dumbbell while subjects performed barbell lifting exercises. A machine learning model is trained to predict the manner in which the exercise was performed (classe). Data preprocessing, cross-validation, model selection, and expected out-of-sample error are discussed. The final random forest model is applied to 20 test cases for submission.

Coinfections

My plot

This document implements the analysis plan for the CSE763 Advanced Bioinformatics assignment using RNA-Seq data from the GEO dataset GSE183947.

This is an example of collecting a small set of data and using it to check if there are differences between packets and from the estimated values on the packaging.

Projet de M1S1