Pre-process analog sensor data

IIT Madras graduate, working at a multinational firm with extensive experience in Machine Learning. "[login to view URL]" : Can get my full credentials here, including various ML courses and projects. 6 years Python. Packages: numpy, pandas, scikit, Tensorflow, Keras. Git : [login to view URL] Tech blog : "[login to view URL]". Have taken part in Kaggle contests as well. Attending UPenn for Masters in Data Science this coming Fall. My area of expertise is Deep learning models and image processing. Have extensive experience implementing ML models for object classification/detection task using Keras Please initiate chat and provide more details regarding the project

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Salutations, I am a python developer. I require a milestone and complete specifications sent before i can do anything at all. regards

Expertise in Python with a substantial background in data processing as well as electrical engineering. I have completed various protects related this field as you can view my profile for completed projects. I can provide you your complete task in decided time frame with quality work. We can discuss further details in the message box Regards

Hello, Can you please explain in more details about what do you mean by saying: "adjust each according to it's matching rotation so that we get pure x,y,z components"? I'm really sorry, but what can I see from the information given is, you have a six-tuple specifying the acceleration and (maybe) the "current position" of some object and you want to transform the acceleration values of that object to the Cartesian plane. It would be nice if you can provide more details about the problem that you want to solve. Also, from the description, it seems that you want to do some data analysis (and, maybe, a machine learning) task related to sensor data. Being a ML and DS enthusiast, I would like to see if I can help you with the project. Feel free to contact me, if you find this proposal useful. Regards, Atul Rajdhar

I can do it for you if you give me the formula for transformation. I am a graduate student in computer science at Georgia Tech.