Human Height and Weight are mostly hereditable, but lifestyles, diet, health, and environmental factors also play a role in determining an individual's physical characteristics. The dataset contains 25,000 synthetic records of human heights and weights of 18 years old children. These data were simulated based on a 1993 by a Growth Survey of 25,000 children from birth to 18 years of age recruited from Maternal and Child Health Centres (MCHC) and schools and were used to develop Hong Kong's current growth charts for weight, height, weight-for-age, weight-for-height and body mass index (BMI). See also the Major League Baseball Players Height and Weight dataset.
Dataset name
height_weight_small.csv
Features
Index: id number of the row.height: height of the person.weights: weight of the person.
Target Variable
weights: weight of the person.
We want to predict the weight of the persons given its height, so your task is to create a model that can do this task, a simple linear regression model can do the job.
The repository of this course can be found at this Link, in which you can find in it some code example, lessons and so one to help you get started with your assignment. If you need extra help you can get it by making an issue in this repository, tag me (@Younes-Charfaoui) and then describe what do you need, We will review the solution and reply to all kind of help.