Welcome to the ML & DL Projects Repository!
This repo is a collection of Python notebooks and scripts covering everything from fundamental machine learning algorithms to advanced deep learning architectures and LLM fine-tuning.
We’re participating in Hacktoberfest, so if you’re looking for beginner-friendly but meaningful issues, you’re in the right place.
Check out the CONTRIBUTIONS.md to see the community of contributors.
Here’s a snapshot of the kind of work you’ll find here:
- Customer_Churn_Prediction – Predict customer churn using ML models.
- Movie_Genre_Classification – Classify movie genres from metadata.
- Stock price detection using LSTM – Predict stock prices with LSTMs.
- OCR captcha cracker – Build an OCR system to solve captchas.
- GAN_images / GANs.ipynb – Generate images with Generative Adversarial Networks.
- LLM_engineering / fine_tuning_LLMs / RAG.ipynb – Experiment with LLMs, retrieval-augmented generation, and fine-tuning.
- sentiment_analysis / Skimmer_NLP_project – Text classification & NLP fundamentals.
- self driving car – ML pipeline for autonomous driving data.
- KNN, SVM, SVR, Logistic regression, Random forest regression, SOMs, Autoencoding_MNIST – Core ML algorithms implemented in notebooks.
…and much more.
- Fork the repo.
- Clone your fork locally:
git clone https://github.com/your-username/ML-and-DL.git
3. Create a **new branch** for your feature or fix:
```bash
git checkout -b my-feature
```
4. Make your changes (add a new notebook, improve documentation, add tests, etc.).
5. Add & commit:
```bash
git add .
git commit -m "Added <your-feature>"
```
6. Push & open a **Pull Request**.
Beginner-friendly issues will be labeled accordingly.
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## 📝 Contribution Guidelines
* Contributions should be Python-based (Jupyter notebooks or `.py` scripts).
* Keep your notebooks clean and well-commented.
* Add a short description of your contribution in the Pull Request.
* Add yourself to the [`CONTRIBUTIONS.md`](./CONTRIBUTIONS.md).
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## 🌟 Show Your Support
Give the project a ⭐ on GitHub — it really helps to grow the community.
Happy Hacking!