ann_minor

Minor Project on Artificial Neural Networks

The Project aims to perform classification operation on the standard dataset which has been retrieved from the UCI Machine Learning Repository:
http://archive.ics.uci.edu/ml/datasets/ILPD+%28Indian+Liver+Patient+Dataset%29
The Project makes use of PyBrain Python module specifically focussed on Artificial Neural Networks:
http://pybrain.org/docs/index.html

The Project consists of the following major components:
1> The standard dataset, ilpd_data.csv
2> The Normailzer Module (Normalization_module.py) that takes as input the dataset specified in point <1> and normalizes the specified input columns.
3> The Data Loader Module that loads the normalized data into a SupervisedDataSet instance.
4> Neural_Net_Eval1.py trains the Neural Network on the Supervised Training dataset constituted previously and then prduces output over the test set.
5> Neural_Net_Output_Non_Repeat.txt provides a sample run output.