#Transforming data to fit another data

5 messages · Page 1 of 1 (latest)

keen helm
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Hi my name is Rayhan and i'm a beginner in Machine Learning, currently im doing a project to predict movement of a user, now i am using a dataset called MotionSense in kaggle (https://www.kaggle.com/datasets/malekzadeh/motionsense-dataset/data), this data is gathered with an iphone 6s, but i wanted to use this dataset to detect motion in an Android device, i've been struggling to fit the data from the android sensor to match the data in the iphone sensor, any ideas? my full try of the code is posted here: https://www.kaggle.com/datasets/malekzadeh/motionsense-dataset/discussion/508431

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I've also tried finding the mean of the dataset and the gathered data, and by dividing the data find a constant to generally fit the gathered data to the dataset so that the gathered data can then be passed through the model trained with the dataset, if anyone has any better solutions to this problem i am very much open thank you!!

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here is the github to the project im working on:

keen helm
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up!!