I want to create a predictive model to predict a categorical value (1,0) but the independent variables are also having few string columns (country, location, age) which I feel are important for the prediction and should be included.
Which model should I use, will Linear Regression work? till now I did regressions which only had continuous or discrete value, is there any norm to address values which has columns with string values ?
Below is the similar question been asked before, but unfortunately I didn't get much information
Regression Analysis with String values in column of DataFrame
I am in an initial phase of learning and practicing machine learning please spare me if this question breaks the eligibility of valid question.
Please provide some insight, any source of help will be appreciated!!!
Edit: Added partial dataset below
Year Location Country 0 2016 chitwan Nepal 1 2016 siberia Russia 2 2016 Oba Hills Nigeria 3 2016 Edumanom Nigeria 4 2016 Kanha India Age Injury Survived Time 09 attack on head N 11h00 19 Neck Injury N 11h00 23 lower leg N 04h43 65 leg injury N 11h00 NaN attacked from behind N 18h00