JNTU Human Activity Recognition Case Analysis Case Study – Description
Week Seven – You are the data scientist
Attached Files:
Case 4 HAR.zip (11.842 MB)
Human Activity Recognition Case Analysis
The goal here is showcase your ability to develop an end to end project involving a real world dataset. It will involve data evaluation, model training, analytics, and reporting.
The first objective is to write a fully executed R program performing EDA on the given data on human activity recognition experiment collected through smart watches.
The second objective is to write a fully executed R program performing visualzations, and predictive or descriptive models using at least three machine learning algorithms on the given data on human activity recognition experiment collected through smart watches.
Use R-markdown or Word with screenshots to illustrate your work. Provide summary statistics, visualzations, and predictive or descriptive models using at least three machine learning algorithms. Comment your work line by line so the reader knows what you are doing. Include timestamps in your screenshots. Explain your thought process at each step of the way. Discuss the meaning found in each visualization. Describe what you have learned and state your conclusions.
Points will be added or deducted for the professionalism of this report.
Points will be deducted in case you fail to explain the output.
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