Machine learning

Develop logistic regression, decision tree and neural network models that will identify whether stores will perform well or poorly. You can use Orange, Python, R, or any data mining package of your choice. The data for the assignment is in a file storedata.csv, which...

Machine learning

  Develop logistic regression, decision tree and neural network models that will identify whether stores will perform well or poorly. You can use Orange, Python, R, or any data mining package of your choice. The data for the assignment is in a file storedata.csv,...

Machine Learning

Optimize the portfolio of (experimental) varieties to be grown at the target farm. Information about the target farm is available in the evaluation dataset. The optimal portfolio can have at most 5 varieties of soybean. It is not necessary but you are welcome to use...

Machine Learning

Final Goal: Optimize the portfolio of (experimental) varieties to be grown at the target farm. Information about the target farm is available in the evaluation dataset. The optimal portfolio can have at most 5 varieties of soybean. It is not necessary but you are...

Machine Learning

Final Goal: Optimize the portfolio of (experimental) varieties to be grown at the target farm. Information about the target farm is available in the evaluation dataset. The optimal portfolio can have at most 5 varieties of soybean. It is not necessary but you are...