The project is about basic machine learning methods and fairness in machine learning associated with the Machine Intelligence and Society 2023 course
This project adheres to the principles of Test-Driven Development (TDD) and involves configuring a CI/CD pipeline using GitLab. While inspired by the Machine Learning and Optimization course at the Technical University of Munich, it is a personal project where I independently create Pytest test functions, integrate them into the CI/CD pipeline configuration, and complete assignments from the course tutorials.
This project is designed to develop tutorial materials and exercises focused on employing Natural Language Processing (NLP) techniques to analyze sentiments, identify trends, and comprehend the general opinions shared by viewers in movie reviews. As part of my volunteer tutoring efforts, these resources aim to enhance our ability to derive significant insights from text data. Through the application of sophisticated NLP models and algorithms, we aspire to gain a more profound understanding of audience responses and preferences, facilitating a better grasp of the impact of films on viewers.
The project entails developing a Flask-based web application that generates and manages QR codes, with deployment on Heroku and integration of environment variables for secure configuration.
Understanding the emotional depth of song lyrics in foreign languages can be challenging. This project bridges that gap by leveraging
The project involves the development of a web application using JavaScript and Next.js, integrating the Notion API to showcase various elements such as social media links, projects, and contact information.
This project focuses on electrical engineering measurements, featuring exercises in programming signal generation, Fourier Transformation, equipment calibration, transfer function measurement, noise reduction, impedance measurement, and report writing, all completed from home using MATLAB and soundcards.