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Name: Ronak Sisodia

Type: User

Ronak Sisodia's Projects

agglomerative-hierarchical-clustering

In Agglomerative we start with all points as individual clusters and then keep on combining clusters until required number of clusters are not formed using linkages like single, complete, average, ward or centroid.

bayesnet

Design or build a Bayesian Network for modelling a given situation. Try finding out the Joint probability distributions using the Bayes Net:

compiler-construction-c_like

Implementing a compiler for a miniature programming language.

customer-retention-using-neural-network

Creation of a MultiLayer Perceptron using Back Propagation Algorithm. It was trained to efficiently classify the data into two sets:exit and stay. This was able to predict whether a customer might stay with the bank or leave it in future.

divisive-hierarchical-clustering

In Divisive we have all points in one cluster initially and we break the cluster into required number of clusters.

medical-expert-system-knowledge-base

Using expert system shells for the development of Expert systems. These shells are empty Expert System knowledge bases, which have the structure and interface already written for us; all we need to do is to add the knowledge into the KB. Instead of writing an Expert System from scratch, for this problem we will be using a small Expert System shell to design and implement an expert system. We used PyKnow Framework for building the concerned expert system.