Hi,
I'm a software engineering undergraduate.
I have a dataset which includes the numerical values of variables x,y,z and output r.
I want to create an algorithm which basically uses a prediction algorithm using neural networks and finds the relationship/correlation between x,y,z and predict r and/or also i want to forecast the r value ?
what type of algorithms should i look into?
Thank you.
You can use Random forest and SVM for forcasting
You can use regression analysis if underling assumptions are met. Also, there are many machine learning algorithms like random forest which can also be used for your problem. Good Luck!
Shirshendu Roy Thank you for the answer. i was also wondering whether its possible to find the correlation between inputs and inputs and output and use that to forecast?. im new to data science.
it will be like correlation algorithm + forecasting algorithm, will that be possible?
You need to perform regression analysis where you will get correlation matrix.
its a regression problem and can be tackled with both neural network and non-neural network based methods. However, as you have mentioned that you are new to data science, I would suggest, start with non-neural network based method. Now which algorithm to use, you can utilise the following cheat sheet (attached) to decide and experiment till you get best results.
Thivya, you mentioned that you want to create a prediction algorithm using neural networks. Maybe, the following article can help: Article SELF-ORGANIZING DATA MINING TECHNIQUES IN MODEL BASED SIMULA...
Correlation is a straightforward algorithm but maybe you can use regression analysis where multiple outputs are obtained for a sample, like correlation and r. For forecasting r, maybe you can shift the values of r to how many steps would you want the forecasting for, like predict r before 2 steps. This also beocmes a regression problem.
you can go for regression analysis. I think that is the best possible solution for the prediction you want to do for three variable as input.
Hello,
I agree with the answers, regression and forecasting could be a good path. Just to share this textbook https://otexts.com/fpp2/ which is very close to what you are exploring, including examples in R. Hope it helps, good luck!
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