Projects
Projects
This project uses a machine learning model to predict football match outcomes based on historical data. It employs a Random Forest Classifier to categorize results as Home Win, Draw, or Away Win, using features like goals scored and shots on target from 2020-2022 seasons.
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The Hate Speech Detection project is a machine learning application that classifies tweets into categories like Hate Speech, Offensive Language, or No Hate and Offensive content. It utilizes a dataset from Kaggle, involving data preprocessing, feature extraction with CountVectorizer, and a Decision Tree Classifier for model training and prediction. This project aims to automate the identification of harmful language on social media platforms.
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This project aims to evaluate and compare various machine learning classifiers for a classification task. The implemented models include K-Nearest Neighbors, Support Vector Machines (both linear and radial kernels), Logistic Regression with LASSO, Stochastic Gradient Descent, Decision Trees, Random Forests, and Extremely Randomized Trees. Each model's performance is optimized through hyperparameter tuning, allowing for the selection of the best-performing classifier based on accuracy and other relevant metrics. The project emphasizes understanding the strengths and weaknesses of different algorithms, providing insights into their applicability for diverse datasets.
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The University Management System is a web application developed using Django that streamlines the administrative processes of educational institutions. It features a user-friendly interface for efficiently managing students, courses, and various academic operations. The system allows for seamless student management, enabling the registration and tracking of student information and academic records, while also facilitating course creation, modification, and enrollment. Academic records, including grades and attendance, can be managed with automated reporting for transparency.
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The Date Conversion Tool is a web-based application that simplifies the process of converting dates between the Ethiopian calendar and the Gregorian calendar. Built using Python and Flask for the backend, this tool offers users a user-friendly interface to facilitate easy and accurate date conversions. Whether you need to convert a date for cultural, historical, or personal reasons, this application provides quick results, making it an essential resource for anyone navigating between these two calendar systems. Its robust functionality and simplicity ensure a seamless experience for users seeking to manage dates effectively.
The Store Inventory Management Application is a comprehensive desktop solution designed for electronic stores to efficiently manage their inventory. Built with Django for the backend and Electron for the frontend, this application provides a seamless user experience with real-time updates and synchronization. Users can easily track stock levels, add or remove items, generate detailed reports, and analyze sales data through an intuitive interface. The application emphasizes security and performance, making it an essential tool for store owners looking to optimize their inventory management processes.
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A Python project focused on automating email reminders. Includes scripts to manage email notifications, using Python to send automated reminders for specific events or tasks.
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