shivaniraochepuri21/madagascar-case

task 1 fmml 2021 # madagascar-case task 1 fmml 2021 ## The case at Madagascar. People are falling sick due to Covid 19 and the government wants to vaccinate the citizens who are at highest risk, on priority. A few features that contribute to risk, has been identified alongwith their extent of contribution. The risk factors are to be calculated and measured against a threshold value. All citizens who score beyond this threshold value are to be categorised as Risk-prone. The data given is as such: |Citizen ID | Age | Sugar Level (Blood) | Pollutant Level (Air) | |-----|-----|----|----| |AAA| 20 | 122 | 20 | |AAB |35 | 180 | 35| |ACA | 50 | 220 | 65| |ABB | 70 | 300 | 30 | Contribution of features to the disease: |Feature| Weight| |---|---| |Age| 0.05| |Blood Sugar| 0.002| |Pollutant Level| 0.02| The high-risk people are those whose "weighted-sum of all features" falls above 4.0 FMML team members are required to develop a prototype (preferably, a python function) that works, as soon as possible, and host it on their personal GitHub account. The python function should accept input data, which would be a set of features for citizens of Madagascar, and inform which of those citizens are prone to risk.