Cancer prediction system using machine learning algorithm and training the model on different gene expression of cancer
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Updated
May 17, 2023 - Jupyter Notebook
Cancer prediction system using machine learning algorithm and training the model on different gene expression of cancer
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This project implements an image encryption and decryption system using Linear Feedback Shift Register (LFSR) cipher with Shannon's principles of confusion and diffusion. The application features a user-friendly web interface that allows users to upload images, configure encryption parameters, and visualize the encryption/decryption results
Using machine learning technique of K-Nearest Neighbors and visualization tools, our group predicted credit score classification for bank customers based on 10+ features.
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.
Credit card fraud detection using Random Forest with Stratified K-Fold cross-validation and F1-score evaluation.
Week 1-4, Course 4 on https://www.coursera.org/learn/hybrid-mobile-development/home/welcome
Second project worked on at Hamoye Internship involving a classification problem.
🔄 Simplify file management with the renamed.to SDK for AI-driven file renaming, PDF splitting, and data extraction in TypeScript, Python, and Go.
🍔 Angular Restaurant Application - Front-End JavaScript Frameworks: Angular by The Hong Kong University of Science and Technology
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