Welcome to the AI Projects Repository! This repository is designed for AI and data science enthusiasts to contribute and collaborate on various artificial intelligence projects. We aim to create a diverse range of AI projects, from machine learning models to advanced deep learning applications, while fostering an open-source community.
This repository hosts a variety of AI and data science projects, including:
We encourage collaboration from contributors of all skill levels and offer clear guidelines for getting involved.
Before contributing or using any of the projects, ensure you have the following installed:
This repository includes the following projects:
Implements a supervised learning model to predict XYZ using scikit-learn. Key techniques: data preprocessing, feature engineering, model evaluation.
Uses CNNs to classify images from the ABC dataset using TensorFlow/Keras. Techniques: convolutional layers, pooling, dropout, softmax classifier.
Natural Language Processing model to analyze the sentiment of product reviews. Libraries: spaCy, NLTK.
Our repository includes interactive visualizations that help to better understand model performance:
Model accuracy and loss over epochs Confusion matrices Precision-Recall and ROC curves Below is an example plot showing training performance:
We welcome contributions from the community! To contribute, follow these steps:
Create a new branch for your contribution. Commit your changes with a meaningful commit message. Open a pull request and describe the changes you’ve made.
For detailed contribution instructions, please read the CONTRIBUTING.md.