Few Machine Learning and AI themed projects using Python 3.7 and its libraries, such as:
- Matplotlib
- Sklearn
- Numpy
- Tensorflow
- OpenCV
- BeautifulSoup
- Selentium
- Seaborn
- Pyttsx
- Gym
- YOLO
- IBM
- Pytorch
- Pygame
All of the projects here are based on online tutorials or official documentation.
Basic chatbot, that you can use on your website. The last time I checked, only second version works as expected.
Detecting various items on images (includes exoplanet hunting project as well as commentary and implementation of hand gesture recognizer).
Projects related to web development.
Generative adversarial network (GAN) projects.
Various useful notes. Helpful when getting ready for Machine Learning interviews.
Various projects dedicated for exploring sklearn library and popular Machine Learning algorithms such as K Nearest Neighbours (KNN).
Mammography project. Detecting breast cancer with Neural Networks.
Development and deployment of mobile applications coded in Python.
Experimenting with filters, haar cascades, timelapses. Video and photo features.
A* Pathfinding algorithm.
Using YOLO library to main points on human body.
Few projects just to get familiar with PyTorch library.
Quantitative programming using IBM Python supporting library.
Few projects just to get familiar with R language, syntax, possibilities and R Studio.
Reinforcement Learning projects tested with gym library and its environments.
Computer Vision and CARLA projects.
Few projects just to get familiar with the Sklearn library.
Snake game made with PyGame. Implemented ML algorithms to help the app learn the game rules and high scores.
Projects related mostly with voice recognition; e.g. a voice assistant similiar to f. e. Alexa, converting PDF to Audiobook format with pyttsx3 library
Sudoku game made with PyGame. Implemented self-solving recursive algorithm.
Document summarization with Sklearn and Deep Learning.
Exploring the way that viruses work and how they are programmed (white hat hacking).
Exploring Seaborn, Matplotlib's plots and Panda's plots. Lots of data vizualisations (who would have guessed).
Scraping websites with Selentium and Beautiful Soup.