Predicting the activity performed by the person using the body posture values captured. It is a "multiclass classification" problem. The objective is to classify activities into one of the six activities performed. The six activities are: Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing, Laying. This dataset is observed with Random Forest Classifier. The objective is to classify activities into one of the six activities performed.
https://www.kaggle.com/datasets/uciml/human-activity-recognition-with-smartphones
Note: I'd like to upload the train dataset but GitHub does not let me upload more than 25mb, that's why you can find it on the website that I shared above.