In this project we require Data cleaning, treatment of missing values, conversion of the data into normal distributions by not removing the values then shortlisting of variables by complete EDA process utilizing 2 methods Multiple linear regression and Neural network technique. Compare both models to show which one is performing better. This project should be using R-programming.
I'm providing emails on the previous project. This is the feedback on the project which will help you in understanding what is needed. I need complete description of what methodology you used, how you treated missing values, how you transformed data in to the normal distribution, conclusion, comparison of 2 models and how you implemented models. Also provide equation of multiple linear regression.
18 фрилансеров(-а) готовы выполнить эту работу в среднем за $163
Hello sir I have an engineering degree in Data science with more than 2 years of professional experience in r programming language and python, I can start now Regards