Ajit Singh kushwaha

dj-bootcamp

April 1, 2021 – April 23, 2021

Implementing Django framework by developing a single-page eCommerce website.

Interior_Designing_startup

March 21, 2021 – March 21, 2021

Static website template converted into the dynamic website to add content from admin page without changing code files. Django framework is used to add dynamic features and its admin panel to add content to the website. Two apps are created in this project named 'service' and 'project' using Django framework.

Dynamic_Resume

March 18, 2021 – March 18, 2021

Resume using Django framework, interactive implementation of backend technology on resume to add projects, experiences, and blog posts to resume without disturbing the code. New data going to be added using django admin panel.

memo

July 31, 2020 – July 31, 2020

memo — GitHub repository

Stock_Watch

March 19, 2020 – March 26, 2020

Django application with Stock market API integration

djangoWeather

March 12, 2020 – March 17, 2020

Django web application dealing with Air quality API .

meld-plus

January 5, 2018 – January 22, 2025

MELD-Plus is a risk score to assess severity of chronic liver disease. The score includes nine variables as effective predictors for 90-day mortality after a discharge from a cirrhosis-related admission. The variables include all Model for End-Stage Liver Disease (MELD)'s components, as well as sodium, albumin, total cholesterol, white blood cell count, age, and length of stay. MELD-Plus was created as a result of a collaboration between Massachusetts General Hospital and IBM.

Guassian-Process

July 2, 2017 – July 2, 2017

Squash data is analysed using python and R to predict player's performance.

AnalysisOfLiverDisorder

June 2, 2017 – June 2, 2017

Effective analysis and diagnosis of Liver disorder using clustering and association rules in data mining. There are many disorders of the liver that require clinical care by a physician or other healthcare professional. In this project we will present classification mode of liver patient dataset in order to predict liver diagnosis. Medical data mining is one of the critical aspect of automated disease diagnosis and disease prediction. Medical Data Diagnosis involves developing data mining algorithms and techniques to analyse medical data. In recent years, liver disorders have excessively increased and liver disease are becoming one of the most fatal diseases in several countries.

Credit-Card-Fraud-Detection

June 1, 2017 – June 1, 2017

A COMBINED APPROACH OF SMOTE DATA BALANCING WITH DATA MINING ALGORITHMS FOR DETECTING CREDIT CARD FRAUD. Fraud detection method are Support Vector Machines(SVM), K-Nearest Neighbour algorithm(KNN). These techniques can be used alone or meta learning techniques to build classifiers. But amongst all existing method, ensemble learning methods are identified as populate and common method, not because of its quite straightforward implementation, but also due to its exceptional predictive performance on practical problems.