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i am new to machine learning. i'm trying to identify driving pattern through accelerometer and gyroscope sensor. i have been collecting the data of both the sensors and have been storing them in .csv extension. i am not able to identify a pattern in the datasets since it has a lot of datas. i have three independent variables of accelerometer and with that i need to identify the sudden acceleration and sudden breaking and i have three independent variables of gyroscope and i need to identify aggressive turns. can you suggest as to how i need to analyse the pattern and find a algorithm which suits my requirement. this is how the dataset is

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  • $\begingroup$ is your data sequential? does it have time? can you plot it on time scale? $\endgroup$ – Mohsin Bukhari Mar 1 at 7:05
  • $\begingroup$ yes,it does have time. The data table is as follows; time,speed,Ax,Ay,Az,Gx,Gy,Gz $\endgroup$ – Anif Zarus Mar 1 at 7:44

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