classification problem in R
Бюджет €8-30 EUR
I have a dataset of 3,000 lines and 4,000 columns and the rows are grouped into 5 classes and I need to find out which columns, and combination of columns, are more discriminative for each combination of classes (re classifying into binary one versus the other or one combination versus all etc).
The best would be to first find the combination of features most relevant for a class (the identity of the features is what is of interest here), and then building a model to find and test the accuracy for predicting a class from those features.
I am looking for a machine learning expert in R so I can understand and replicate each step.
15 фрилансеров(-а) готовы выполнить эту работу в среднем за €88
Hi, I have a lot of experience with the R language. I also have a master's degree in data science. My reviews prove to you that I worked well on R projects. Your project is a challenge for me. Let's discuss it. For th Больше
Senior R Expert. As 9+ years experiences in these field. I can give good quality work. I have read the guidelines of your work.I believe that i can provide you the best quality works you are anticipating from this pla Больше
Hi, This can be done using any classification algorithm like logistic regression, KNN, SVM etc etc, we can also use DNN, for the second part we can use Principal Component Analysis to figure out which input features ar Больше
Dear client, I have a great experience in the field and would execute the task with a lot of efficiency. Kindly initiate a conversation and we could talk more about the details of your project. Best regards.
Hi, I have been an academic at a top-ranked engineering university, since 2013. Currently, I am on a sabbatical, residing in the UK, as a stay-home-dad. I have adequate knowledge of the breadth of ML algorithms with a Больше
