Pinned Repositories
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.
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.
Outlier-Detection-LOF
Local Outlier Factor (LOF), a density-based outlier detection technique to find frauds in credit card transactions.
PageRank
Google's page rank implementation on p2p file sharing database.
PathFinder
Finding optimised path between source and destination using A-star algorithm.
poverty
A Python Package to calculate indexes related to poverty and inequality.
rocksdb
A library that provides an embeddable, persistent key-value store for fast storage.
YaAR-Chatbot
A basic chatbot implementation using AIML.
ronak-07's Repositories
ronak-07/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.
ronak-07/Divisive-Hierarchical-Clustering
In Divisive we have all points in one cluster initially and we break the cluster into required number of clusters.
ronak-07/Outlier-Detection-LOF
Local Outlier Factor (LOF), a density-based outlier detection technique to find frauds in credit card transactions.
ronak-07/poverty
A Python Package to calculate indexes related to poverty and inequality.
ronak-07/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.
ronak-07/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.
ronak-07/rocksdb
A library that provides an embeddable, persistent key-value store for fast storage.
ronak-07/YaAR-Chatbot
A basic chatbot implementation using AIML.
ronak-07/PageRank
Google's page rank implementation on p2p file sharing database.
ronak-07/PathFinder
Finding optimised path between source and destination using A-star algorithm.
ronak-07/BayesNet
Design or build a Bayesian Network for modelling a given situation. Try finding out the Joint probability distributions using the Bayes Net:
ronak-07/Compiler-Construction-C_Like
Implementing a compiler for a miniature programming language.
ronak-07/OsmToRoadGraph
OSM XML file to road graph converter
ronak-07/personality-detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
ronak-07/PyTunes
A GUI implementation for searching song and saving lyrics in a text file.