Deepak K Gupta's starred repositories
Graph-Theory-Modelling
Python implementation of Dijkstra and Bi-Directional Dijkstra using heap and priority queues in python
Email-Classification-NNs
Research Work: Gupta, D.K. and Goyal, S., 2018. Email Classification into Relevant Category Using Neural Networks. arXiv preprint arXiv:1802.03971.
Machine-Learning-Credit-Scoring-Geospatial
Research work on credit scoring using geospatial data and techniques
Social-Network-Analysis-Simulation
In simulations such as this, we often think of each node (agent) as being in a \state"; iteratively updating this state in response to incoming messages; and sending out messages in response to its current state and any incoming messages.
Credit-Analysis-Enhancement---Geospatial
Enhancing Credit analysis using Geospatial techniques. The predictive model is built on logistic regression and decision tree algorithms and produces an estimated default probability of the applicant. Models are built on normalised data to cover all possible scenarios from real life. The predictive probability will determine good and bad customers by classifying them into four categories. The output from predictive models is used on tableau to generate business dashboard. Models ability to classify and performance measurements were measured by using statistical metrics: Gini, KS and AUROC.
OpsResearch-Linear-Programming
This project aims to provide optimal solutions for managing resource and revene for organizing a conference or a event with optimal cost. This have been achived by using advanced mixed integer linear programming from operation research domain.