I am working with the WHITE wine data set available at UCI [login to view URL] goal is to predict the wine quality.
First of all ,select an evaluation metric that you consider adequate to evaluate the performance of the predictive models you will consider for solving this prediction problem. Discuss alternatives and justify your choice.
b. Considering the classes of predictive models studied in the course, choose a representative sample of each class, considering a resoanble number of parameter variants when appropriate. Evaluate and compare the predictive performance of all these alternatives.
c. Present a discussion of the results of task b. and your main conclusions in terms of your recommendations for addressing this predictive task. Don’t forget to explain which model you would select for this task and why.
I am a data scientist and have experience in machine learning and statistical analysis of data using R and Python. I have previously multiple times worked with WINE dataset available at UCI and also read your descripti Daha Fazla
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Hello I can achieve this project erfectly using R I can predict the wine quality using kmeans and / or knn please contact me for more details about the project best regards
----------------------------------- Hey, I'm interested in your project. Please send me a message so that we can discuss more. PS: I have skills in programming language R, Minitab, SPSS -------------------------------- Daha Fazla
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Hi I have done projects in R before around machine learning and I am confident I can deliver this project to you . Please text me to discuss further. Cheers