@chaatak wrote:
Hi
I am currently trying to make a project in neural networks using R for generating numerical predictions.
The data set contains 4 numerical predictor variables and 1 numerical response variable.
I know about the theoretical aspects of ANN. I am aware of the packages nnet, neuralnet, learNN.Can anyone please suggest resources or write an article about how to implement Neural Networks in R.
I need help specifically for:
1. Which functions and packages to use and how to use them?
3. How to interpret the output of the functions used?
2. How to tweak the model by adjusting various parameters like weights or size or delay etc. to get the best accurate model?
3. Visualizing the model.
4. Evaluation and checking the accuracy.
5. Any other suggestions...
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