Rush Ounza's Projects
100+ python programming exercise problem discussed ,explained and solved in different ways
AI Ready Academy - Workshop 1
Detection of Anomalies in Financial Transactions using Autoencoder Networks, Principal Component Analysis, and Isolation Forests
LAMP Application to conduct aptitude tests for students participating in MOCK PLACEMENTS (2021).
This is an athlete tracking web application specifically for athletes running the sprint races (100/200m) races. The athlete is able to input his/her race time in seconds and the race type and a bar graph will be drawn using chart.js to display his progress along with the median race time.
Simple implementation of a Bike Repairs website
Game where you control a paddle with arrow keys to bounce a ball up to break bricks using vanilla javascript
Python Implementation of all the Competitive Programmer Handbook Algorithms
Using Deep Learning (CNN) to explore and predict MNIST dataset, CIFAR dataset, and Plant Village dataset
A Credit Card Vault application that collects Credit Card information from a customer and stores them securely in a database
A Simple Video Player application using Vanilla Javascript
Collection of LeetCode questions to ace the coding interview!
A Dating Web Application using Angular and .NET
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
A plant disease detector (classifier) based on the PlantVillage dataset
Simple application to demonstrate DOM array methods
Using Random Forests
A simple web application that converts one currency to another
This is a feedback and rating application using React to add ,update, edit, and delete user feedbacks and display the average rating.
Fraud Detection using Anomaly Detection algorithms. Tests are conducted using simulated data from Fincrime Dynamics.
Implementing Simple Form validation using Vanilla JavaScript
Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent