Knowledge base for developing AI-related projects. Here you can find any relevant documentation and code to apply to your project. If it's the first time you are coding in python. Please check:

Contents

0. AIBasics. Where we introduce the concept of AI and simpler but very powerful algorithms and concepts (e.g. Pathfinding, Sentiment Analysis, Probability of events,...)
1. Models. Basics on Models and Pytorch. Also useful for any simple project or basic prototype.
2. Regression. Useful for any project where we are trying to predict data. (e.g. Temperature rise from indicators, Weather, ...)
3. Classification. For any project where we are trying to get the probability of something belonging to a specific. (e.g. Probability of diabetes, Classifying images,...)

Credits

For the developing of this repository, we used the following sources:

• https://cs50.harvard.edu/ai/2023/
• https://github.com/mrdbourke/pytorch-deep-learning