I have a project in which I am trying to predict a variable (Shedding)
I have used Logistic Regression to build this model, However, I don't know how to do feature selection in the data (Right now its random data selection) The number of features available in the data are above [login to view URL] of which I have to select around 300 features which fit the model well. I have training data as well as test data. Please let me know if anyone can help me with the feature selection and improving the accuracy of the model.
I want this done in a day.
Bid Summary
Need to know about features tht best describe the o/p
Project Requirements
I believe tensorflow would be useful here
Relevant Skills and Experience
good at python3.5, tensorflow, numpy,theano etc
Proposed Milestones
$777 USD - final one
I want to discuss this project with you further, let me know the best suitable time for you to schedule the meeting, Feel free to message me at any time, i used to be online 14 hrs in a day on this website so probably you will get a quick response from my end.
Hi,
Can we discuss the project further?
I have done similar project and understood the project outline. Please give me a chance. A trial will convince you. Looking forward to work with you.