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Mahalavanya's Projects

alumni-website icon alumni-website

A website that maintains Alumni and student data, clubs, alumni student interaction forum , reunions, information about hiring, list of events that takes place on the campus and also allows the institute to communicate about the latest updates to the alumni, students and leverage the network.

aspkart icon aspkart

Basic E-Commerce website similar to Amazon where one can add an sku item he/she intends to buy to the cart. Very flexible and easy search of the item with category is possible. Developed in angular for learning purposes with In-Memory Web Api.

book-recommendation-system icon book-recommendation-system

Built recommender systems in python for good read books dataset. Implemented multifarious systems in both collaborative and content-based approaches. Further, the algorithms were executed in a distributed manner using spark ML on the AWS EMR cloud.

conference-management-system icon conference-management-system

A web-based application based on MVC architecture that keeps track of multiple conference proceedings. It is a completely automated system and helps the researcher, conference chair, and the reviewers in their respective activities with ease. Developed mainly in python using HTML5, CSS, Django, and PostgreSQL.

covid-19_prediction icon covid-19_prediction

Prediction of how food consumption and health factors influence the COVID-19 fatality rates around the world

exploratory-data-analysis icon exploratory-data-analysis

Exploratory Data Analysis refers to the critical process of performing initial investigations on data so as to discover patterns,to spot anomalies,to test hypothesis and to check assumptions with the help of summary statistics and graphical representations. Here, we see EDA for several datasets.

neural-network icon neural-network

This repository consists of both 2NN and Deep Neural Network algorithm implementation.

sdm-2021-generative-tutorial icon sdm-2021-generative-tutorial

Material from SDM 2021 tutorial "Mining Dynamic Networks with Generative Models" presented by Kevin S. Xu and James R. Foulds

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