An Internship Project Body Fat Estimator Deployed on Azure Cloud Platform. The project "Body Fat Estimator" tends to estimate percentage of body fat in human body based on parameters such as weight, hip-size, chest-size, and many more.
Dataset can be downloaded from here
- Have an Azure account with an active subscription. Create an account for free.
- Install Python 3.6 or higher.
- Install the Azure CLI, with which you run commands in any shell to provision and configure Azure resources.
The data were generously supplied by Dr. A. Garth Fisher who gave permission to freely distribute the data and use for non-commercial purposes.
Roger W. Johnson Department of Mathematics & Computer Science South Dakota School of Mines & Technology 501 East St. Joseph Street Rapid City, SD 57701
email address: [email protected] web address: http://silver.sdsmt.edu/~rwjohnso
Bailey, Covert (1994). Smart Exercise: Burning Fat, Getting Fit, Houghton-Mifflin Co., Boston, pp. 179-186.
Behnke, A.R. and Wilmore, J.H. (1974). Evaluation and Regulation of Body Build and Composition, Prentice-Hall, Englewood Cliffs, N.J.
Siri, W.E. (1956), "Gross composition of the body", in Advances in Biological and Medical Physics, vol. IV, edited by J.H. Lawrence and C.A. Tobias, Academic Press, Inc., New York.
Katch, Frank and McArdle, William (1977). Nutrition, Weight Control, and Exercise, Houghton Mifflin Co., Boston.
Wilmore, Jack (1976). Athletic Training and Physical Fitness: Physiological Principles of the Conditioning Process, Allyn and Bacon, Inc., Boston.