https://github.com/ashad001/ml-dl-projects

This repository contains a compilation of my Python projects and notebooks focusing on Machine Learning and Deep Learning.
https://github.com/ashad001/ml-dl-projects

ai deeplearning machinelearning

Last synced: 5 days ago
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This repository contains a compilation of my Python projects and notebooks focusing on Machine Learning and Deep Learning.

• Host: GitHub
• URL: https://github.com/ashad001/ml-dl-projects
• Owner: Ashad001
• License: gpl-3.0
• Created: 2022-08-16T17:45:28.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-27T13:11:57.000Z (8 months ago)
• Last Synced: 2024-03-27T14:29:29.273Z (8 months ago)
• Topics: ai, deeplearning, machinelearning
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/ashadqureshi
• Size: 4.77 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Python Projects

This repository contains a collection of my Python projects related to Machine Learning (ML), Deep Learning (DL), computer vision and Natural Language Processing. Each project is implemented using Python (and jupyter notebooks) and includes a description, installation instructions, and usage examples.

Feel free to explore the projects and use them as a reference or starting point for your own projects. If you find them helpful or have any suggestions for improvements, please let me know!

Note: If you cant open the notebooks directly you can either download the notebook or copy the link and open in nbviewer for preview. 

## Project List

1. **Project 1**: [Email Spam Detection](https://github.com/Ashad001/PythonProjects/tree/main/EmailSpamChecker)

   - Description: Neural network-based email spam detection using TensorFlow.

2. **Project 2**: [Titanic Survival Prediction](https://github.com/Ashad001/PythonProjects/tree/main/TitanicSurvivor)

   - Description: Titanic survival prediction using Keras Neural Network with TensorFlow.

3. **Project 3**: [House Price Prediction (Advanced)](https://github.com/Ashad001/ML-DL-Projects/tree/main/HousePricePrediction)

   - Description: House price prediction using RandomForest and XGBoost algorithms.

4. **Project 4**: [Handwritten Digit Recognition](https://github.com/Ashad001/ML-DL-Projects/tree/main/HandWrittenDigitClassification)

   - Description: Neural Network-based multiclass classification on handwritten digits from the MNIST dataset.

5. **Project 5**: [House Price Prediction in Streamlit](https://github.com/Ashad001/ML-DL-Projects/tree/main/House_Price_Prediction%20in%20Streamlit)

   - Description: House price prediction visualized in Streamlit UI using Random Forest.

6. **Project 6**: [Credit Card Fraud Detection](https://github.com/Ashad001/ML-DL-Projects/tree/main/CreditCard%20Fraud%20Detection)

   - Description: Ongoing project for credit card fraud detection.

7. **Project 7**: [Fashion MNIST Image Classification](https://github.com/Ashad001/ML-DL-Projects/tree/main/Fashion_mnist_classifier)

   - Description: Demonstrates fashion item image classification using a Convolutional Neural Network (CNN) on the Fashion MNIST dataset with early stopping and model evaluation.

8. **Project 8**: [Cats and Dogs Image Recognition](https://github.com/Ashad001/ML-DL-Projects/tree/main/Cats-Dog-Classifier)

   - Description: This project aims to classify images of cats and dogs using image recognition and deep learning techniques.

9. **Project 9**: [Sign Language Multi-Class Classification](https://github.com/Ashad001/ML-DL-Projects/tree/main/SignLanguageMNIST)

      - Description: Multi-Class Classification of Sign Language MNIST using Convolutional Neural Networks.

10. **Project 10**: [Generating Text in Poetry](https://github.com/Ashad001/ML-DL-Projects/tree/main/PoetryGenerator)

      - Description: This project aims to create a    text generator model trained on Shakespeare's sonnets to predict the next word in a given text sequence.

11. **Project 11**: [Sunspot Prediction](https://github.com/Ashad001/ML-DL-Projects/tree/main/Sunspots_analysis)

       - Description: This project will use time series data of past sunspot data for prediction using RNNs and LSTMs.

12. **Project 12**: [Temperature Prediction](https://github.com/Ashad001/ML-DL-Projects/tree/main/Temperature_analysis)

      - Description: This project will use real-life time series data of temperature in Melbourne and make predictions using combinations of RNNs, CNNs, and LSTMs.

13. **Project 13**: [Dialogue Summarization using Generative AI](https://github.com/Ashad001/ML-DL-Projects/tree/main/DialogueSummarize)

      - Description: This project uses HuggingFace' FLAN-T5 model to summarize text and features techniques to improve model performance.  

## Acknolegments

Some projects are part of Lab assignments from deeplearning.ai courses and are mentioned in project's README!

## Contributions

Contributions to the projects are welcome! If you have any bug fixes, feature enhancements, or new project suggestions, feel free to submit a pull request or open an issue.

## Contact Information

For questions, suggestions, or collaborations, please contact [[email protected]](mailto:[email protected]).

## License

This repository is licensed under the [GPL 3.0 License](https://github.com/Ashad001/ML-DL-Projects/blob/main/LICENSE).