aissistant

Aissistant is a GitHub repository that showcases my website built using Next.js and React as the frontend technologies, and Django as the backend framework. The website features a Trello board integration along with a writing assistant powered by the ChatGPT API, providing users with enhanced writing assistance and productivity tools.

build-and-deploy-a-modern-react-18-fitness-exercises-app-with-apis-golds-gym

A comprehensive course that takes you all the way to deployment on netflify. Showed many best practices for React, API management. They used "@mui/material" for Stacks, Typographys etc. The styling job in this course was maybe a bit much. So if you are so interested in learning basic functionality, be aware that styling is big part of this course.

feedback-app

Part of traversy's course 'React front to back 2022'. Lots of fun working with json-server and postman., used createContext for our global state. A really fun application

financial-markets-and-instruments

This repository is for a project in the course financial markets and instruments, taught at Linkoping University. Attended Fall 2022.

github-finder

Personalized GitHub Page: Exploring the Depths with Brad Traversy's Course, utilizing its REST API to fetch essential data. The journey led me to dive into the Context API, unraveling the power of reducers. Join me as I unveil my site, a testament to my growth and newfound understanding during this fun project.

house-marketplace

Part of my learning journey during the course, React back to front 2022

hugomartinbjork

nlp-sentiment-analysis-project

This project aims to improve NLP sentiment analysis through ensemble methods by proposing two simplified methods that combine BERT with VADER's VAD score. Inspired by Wang et al., the project seeks to increase performance in classifying the sentiment of IMDb reviews.

q-learning-rocket

I implemented a rocket with an algorithm called Q-learning. The goal was for it to learn how to hover in a upright position, this was accomplished after around 15 000 iterations.

react-js-crash-course

I really liked this course, suitable for a beginner and up to date. I would recommend this to anyone who has some but fairly little programming experience to grow and learn the concepts of components, states and the overall react library.

react-js-full-course-2022-build-an-app-and-master-react-in-1-hour

Great for understanding key concepts. Constructing the front-end part of a "netflix"-like page makes for a well spent hour. Good API practise as well! A definite recommend!!

robot-cleaner

Had a great time implementing a virtual vacuum cleaner robot as part of a school project. You can find my modified solution in 'myvacuumagent.py'. Since the agent is unaware of its surroundings I implemented a heat map in order to keep the agent "curious" and is prone to explore new environments. I also added a file named "have_fun.py" without a solution programmed so that you can try it for yourself:)

support-desk

Exploring MongoDB and Redux Toolkit in a Full-Stack Adventure. Coming from a SQL background, I eagerly embraced MongoDB and the challenges of Redux Toolkit. Have a peek at my first MERN stack app, I learned a lot crafting this application using these powerful technologies.

tddc88-software-engineering

Backend storage inventory solution built for the Regional Hospital in Linköping, Sweden, as part of the course Software Engineering at Linköpings University. Built in Django using Django rest framwork. For full list of contributers, visit the URL below.

tdde01-machine-learning-labs

The first lab touched basic concepts in machine learning. Software. Classification and regression. The second lab went over model selection, decision trees, and dimensionality reduction and the third lab focused on Kernels and neural networks. Lab series attended fall of 2022, taught at Linkoping university.