Welcome to the Coding Club's ML Models Repository! This repository houses a diverse collection of machine learning models, projects, and resources developed and contributed by students of Coding Club RVCE.

The repository is organized into the following folders:

Explore various data visualization projects and tools to visualize datasets effectively. This section includes code snippets, notebooks, and projects showcasing different visualization techniques.

Discover a range of deep learning models implemented in different frameworks (TensorFlow, PyTorch, etc.). Find models for image classification, natural language processing, computer vision tasks, and more.

Access exploratory data analysis projects that delve into understanding datasets, identifying patterns, outliers, and preparing data for modeling. Includes descriptive statistics, data cleaning, and visualization.

Explore a wide array of machine learning models covering regression, classification, clustering, and more. Find implementations in the framework such as Scikit-learn.

Dive into statistical analysis projects covering hypothesis testing, probability distributions, regression analysis, and other statistical methodologies.

Explore transformer-based models for natural language processing (NLP), including implementations of BERT, GPT, and other transformer architectures.

Feel free to explore, use, and build upon the models and projects in this repository. Refer to each model's README.md for specific usage instructions.

Check out contribution.md for contribution guidelines.

For any questions, feedback, or issues regarding the repository, feel free to open an issue or reach out to the Coding Club.

Happy Coding! 🎉