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README.md

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@@ -16,8 +16,13 @@ Data-driven computational mechanics, Modelfree method, Nonparametric method, Che
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**<sup>∗</sup>Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, India.** <br/>
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<sup>†</sup>Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore.<br/>
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## How to run the code?
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### For **Classical Machine Learning**
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## How to use the code?
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1. Clone this repository
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2. For **Kernal Regression** :
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1. `cd KernalRegression`
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2. Run `cross_valid.m`
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### For running**Kernal Regression**
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* Run `all.py` [[Link]](https://github.com/rahulvigneswaran/Intrusion-Detection-Systems/blob/master/all.py)
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### For **Deep Neural Network (100 iterations)**
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* Run `dnn1.py` for 1-hidden layer network and run `dnn1acc.py` for finding it's accuracy. [[Link]](https://github.com/rahulvigneswaran/Intrusion-Detection-Systems/tree/master/dnn)

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