Projects in Awesome Lists by Akimuddinshaikh
A curated list of projects in awesome lists by Akimuddinshaikh .
https://github.com/akimuddinshaikh/master-s-research-project
A hybrid approach combining texture-based (GLCM) and deep learning (ResNet50) features with unsupervised clustering and supervised classification for detecting liver diseases. Achieved 99%-100% accuracy using SVM, XGBoost, and Random Forest on pseudo-labeled medical imaging datasets
agglomerative-clustering dbscan-clustering glcm kmeans-clustering opencv python random-forest resnet-50 svm-model tensorflow xgboost-model
Last synced: 05 Apr 2025
https://github.com/akimuddinshaikh/machine-learning-project
A comparative study of regression models (Decision Tree, Random Forest, Ridge, Lasso, SVM) for predicting real estate prices in King County, NYC, and California using PCA & Pipeline techniques.
machine-learning pca-analysis python regression-models scikit-learn statsmodels
Last synced: 04 Apr 2025
https://github.com/akimuddinshaikh/leetspeaktranslator
ASP.NET MVC Project for Translation App
Last synced: 15 May 2025
https://github.com/akimuddinshaikh/ecommerce-powerbi-dashboard
This Power BI project analyzes online sales data to uncover insights on sales amount, profit, quantity, and customer behavior. Key performance metrics like total sales, average order value, and profit trends by month are visually represented to aid business decision-making.
Last synced: 15 May 2025
https://github.com/akimuddinshaikh/data-governance-1
A structured Data Governance Framework for EasyCare, focusing on GDPR compliance, data security, customer trust, and ethical decision-making. The study applies John Ladley’s 8-Phase Approach to governance and compares Deontological vs. Utilitarian frameworks for IT systems auditing.
data-governance ethical-data gdpr-compliant risk-management
Last synced: 19 Feb 2025
https://github.com/akimuddinshaikh/data-governance-2
An ethical AI approach for liver disease detection using machine learning and deep learning models. The project ensures data privacy, fairness, and transparency, using the Indian Liver Patient Records dataset for scalable healthcare diagnostics
bias-mitigation data-privacy fairness transparency
Last synced: 19 Feb 2025
https://github.com/akimuddinshaikh/deep-learning-projects
Bone Fracture Detection Using X-Ray Images An AI-driven approach for detecting bone fractures in X-ray images using Convolutional Neural Networks (CNNs), Canny Edge Detection, Random Forest, and Transfer Learning (EfficientNetB3). Achieved 94.59% accuracy with advanced preprocessing techniques.
cnn-classification deep-learning medical-imaging python xray-classification-cdac
Last synced: 19 Feb 2025
https://github.com/akimuddinshaikh/statistics-project-1
find the best combination of multiple linear regression models to estimate the predicted cancer-related mortality rate per county using the county's cancer- increased incidence and accessible macroeconomic data.
Last synced: 19 Feb 2025
https://github.com/akimuddinshaikh/modelling-simulation-and-optimization
A comparative study of Integer Programming, Genetic Algorithm, and Simulated Annealing to solve the Traveling Salesman Problem. Benchmarked algorithms on datasets of 29, 40, and 80 cities and analyzed solution quality vs. execution time. Results demonstrate the trade-offs between accuracy and computational efficiency.
modelling optimization python simulation travelling-salesman-problem
Last synced: 19 Feb 2025
https://github.com/akimuddinshaikh/college_projects
This folder is the collection of the projects that I accomplished during my Masters education.
Last synced: 19 Feb 2025
https://github.com/akimuddinshaikh/domain-application-of-predictive-analysis
Data-Driven House Price Prediction "Predicting house prices using Machine Learning techniques
feature-engineering pca python random-forest scikit-learn
Last synced: 04 Apr 2025