Comparison of multiclass classification using convolution neural network and ANN (MLP Classifier).
Budget: $250 – $750 USD
This is the dataset link: https://www.kaggle.com/solarmainframe/ids-intrusion-csv
The main focus is how to deal with class imbalance.(SMOTE and Sampling).
Compare the CNN and MLP models with and without (SMOTE and sampling).
I have implemented basic MLP model with and without SMOTE and sampling (Need to update the model parameters).
Basic preprocessing is done (Need to improve).
Need to implement CNN model.
The dataset is divided into subsets.
Refer the below attached paper.
The main focus is how to deal with class imbalance.(SMOTE and Sampling).
Compare the CNN and MLP models with and without (SMOTE and sampling).
I have implemented basic MLP model with and without SMOTE and sampling (Need to update the model parameters).
Basic preprocessing is done (Need to improve).
Need to implement CNN model.
The dataset is divided into subsets.
Refer the below attached paper.