This is Data Science Course
Objective: Your final project will involve performing original
analysis on a data set of your choosing.
For this midterm proposal, please submit approximately 120 word
outline of your final project based on the following:
1) Explain what you are studying
2) Why are you studying it (Why is it important, why should we care
about it); i.e. motivation behind the problem
3) How will you be studying it (your data source, data tools you
will use, the methodology you will follow)
The main purpose of this proposal is to assess the value and
feasibility of your project.
If you are expanding on a data set that you have using during the
semester, you should use new methodologies and
functionalities.
Please typing your answer don't put a picture or write by hand.
The dataset under consideration for study is called "WISDM (Wireless sensor data mining) Smartphone and Smartwatch Activity and Biometrics Dataset". It contains data collected from accelerometer and gyroscope sensors of a smartphone and a smartwatch as 51 subject performed 18 diverse activity of daily living for 3 minutes each.
The dataset can help understand behavioural patterns and habits of a particular human. Biometric data is arguably the most personal and private data that anyone has. Hence behavioral biometrics can be pursued for addressing privacy concerns and fill important gaps that’s common in many current security programs.
The dataset is available with UCI machine learning repository and can be studied using SAS tool. Quantitative statistical techniques (regression, clustering etc.) can be used to study and analyse the data.
This is Data Science Course Objective: Your final project will involve performing original analysis on a...
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