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Portfolio\n\n[![Python](https://img.shields.io/badge/Python-3.8%2B-blue.svg)](https://www.python.org)\n[![TensorFlow](https://img.shields.io/badge/TensorFlow-2.0%2B-orange.svg)](https://www.tensorflow.org)\n[![Keras](https://img.shields.io/badge/Keras-2.4%2B-red.svg)](https://keras.io)\n[![Scikit-learn](https://img.shields.io/badge/Scikit--learn-1.0%2B-green.svg)](https://scikit-learn.org)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Maintained](https://img.shields.io/badge/Maintained-yes-brightgreen.svg)](https://github.com/Kedhareswer/ML_Projects/graphs/commit-activity)\n[![Last Commit](https://img.shields.io/github/last-commit/Kedhareswer/ML_Projects)](https://github.com/Kedhareswer/ML_Projects/commits/main)\n\nA comprehensive collection of machine learning projects showcasing various applications in computer vision, natural language processing, time series analysis, and predictive modeling.\n\n## 📊 Projects Overview\n\n| Project Name | Category | Technologies | Complexity | Status |\n|-------------|----------|--------------|------------|---------|\n| Emotion Analysis | Computer Vision | TensorFlow, Keras | ⭐⭐⭐⭐☆ | ✅ Complete |\n| CIFAR-100 CNN | Image Classification | TensorFlow.js, CNN | ⭐⭐⭐⭐☆ | ✅ Complete |\n| Forecasting Sticker Sales | Time Series | Prophet, Pandas | ⭐⭐⭐☆☆ | ✅ Complete |\n| Video Game Sales EDA | Data Analysis | Pandas, Matplotlib | ⭐⭐☆☆☆ | ✅ Complete |\n| House Price Prediction | Regression | Scikit-learn | ⭐⭐⭐☆☆ | ✅ Complete |\n| Netflix Stock Price Prediction | Time Series | TensorFlow, LSTM | ⭐⭐⭐⭐☆ | ✅ Complete |\n| MNIST | Image Classification | TensorFlow, Keras, TFLite | ⭐⭐⭐⭐☆ | ✅ Complete |\n| Image to Sketch | Computer Vision | OpenCV, Pillow | ⭐⭐☆☆☆ | ✅ Complete |\n| Moonknight | General | Python | ⭐⭐⭐☆☆ | ✅ Complete |\n| Optimal Fertilizer Prediction | Predictive Modeling | Scikit-learn, Pandas | ⭐⭐⭐⭐☆ | ✅ Complete |\n| Rainfall Prediction | Time Series | Pandas, Scikit-learn | ⭐⭐⭐⭐☆ | ✅ Complete |\n| Sentiment Analysis (DistilBERT) | NLP | Transformers, Hugging Face | ⭐⭐⭐⭐☆ | ✅ Complete |\n\n## 🌟 Upcoming Projects\n\n### AI Creative Suite\n- AI Art Style Transfer\n- Speech Emotion Recognition\n- AI Game Bot (Deep RL)\n- Deepfake Voice Cloner\n- Children's Story Generator\n- Accent Converter\n\n## 📈 Project Performance Metrics\n\n```mermaid\ngraph LR\n    A[ML Projects] --\u003e B[Computer Vision]\n    A --\u003e C[Time Series]\n    A --\u003e D[Classification]\n    B --\u003e E[Emotion Analysis\u003cbr/\u003eAccuracy: 85%]\n    B --\u003e F[CIFAR-100\u003cbr/\u003eAccuracy: 78%]\n    C --\u003e G[Stock Prediction\u003cbr/\u003eRMSE: 2.3]\n    C --\u003e H[Sales Forecast\u003cbr/\u003eMAE: 1.8]\n    D --\u003e I[Image Classification\u003cbr/\u003eF1: 0.82]\n```\n\n## 🌟 Featured Projects\n\n### 1. MNIST Handwritten Digit Recognition ✍️\n\u003cdetails\u003e\n\u003csummary\u003eClick to expand\u003c/summary\u003e\n\n#### Overview\nState-of-the-art CNN model for classifying handwritten digits with 99.55% accuracy.\n\n#### Performance\n| Metric | Score |\n|--------|-------|\n| Test Accuracy | 99.55% |\n| Accuracy (Noisy) | 99.56% |\n\n#### Key Features\n- High accuracy (over 99.5%)\n- Robust data augmentation\n- TensorFlow Lite conversion\n- Production-ready deployment\n\u003c/details\u003e\n\n### 2. Emotion Analysis 😊\n\u003cdetails\u003e\n\u003csummary\u003eClick to expand\u003c/summary\u003e\n\n#### Overview\nReal-time emotion detection using CNN architecture.\n\n#### Performance\n| Metric | Score |\n|--------|-------|\n| Accuracy | 85.2% |\n| F1-Score | 0.83 |\n\n#### Key Features\n- Real-time processing\n- 7 emotion classes\n- Data augmentation\n- Batch normalization\n\u003c/details\u003e\n\n### 3. Sentiment Analysis (DistilBERT) 📝\n\u003cdetails\u003e\n\u003csummary\u003eClick to expand\u003c/summary\u003e\n\n#### Overview\nEfficient sentiment analysis using DistilBERT.\n\n#### Features\n- Pre-trained transformer model\n- Multi-class classification\n- Optimized for production\n- High accuracy on diverse texts\n\u003c/details\u003e\n\n## 💻 Technologies Used\n\n```\nPython        ████████████████████  100%\nTensorFlow    ██████████████████    90%\nKeras         ████████████████      80%\nScikit-learn  ████████████          60%\nProphet       ██████████            50%\nPandas        ████████████████      80%\nMatplotlib    ████████████          60%\n```\n\n## 📋 Requirements\n\n| Package | Version | Purpose |\n|---------|---------|---------|\n| Python | ≥3.8 | Core Programming |\n| TensorFlow | ≥2.0 | Deep Learning |\n| Keras | ≥2.4 | Neural Networks |\n| Scikit-learn | ≥1.0 | Machine Learning |\n| Prophet | ≥1.0 | Time Series |\n| Pandas | ≥1.3 | Data Management |\n| Matplotlib | ≥3.4 | Visualization |\n\n## 🚀 Getting Started\n\n1. **Clone the repository:**\n   ```bash\n   git clone https://github.com/Kedhareswer/ML_Projects.git\n   ```\n\n2. **Set up the environment:**\n   ```bash\n   python -m venv env\n   source env/bin/activate  # On Windows: .env\\Scripts\\activate\n   pip install -r requirements.txt\n   ```\n\n3. **Choose a project:**\n   ```bash\n   cd project_name\n   jupyter notebook\n   ```\n\n## 📊 Project Stats\n\n- **Total Projects**: 12 (Completed)\n- **Upcoming Projects**: 6\n- **Technologies Used**: 7\n- **Last Updated**: 2025-06-07\n- **Active Development**: Yes\n\n## ⚠️ Important Notes\n\n- Educational Purpose Only\n- Datasets Not Included\n- Models Require Training\n- GPU Recommended for CNN Projects\n\n## 📫 Contact \u0026 Support\n\n- **Email**: Kedhareswer.12110626@gmail.com\n- **Issues**: [GitHub Issues](https://github.com/Kedhareswer/ML_Projects/issues)\n- **Discussion**: [GitHub Discussions](https://github.com/Kedhareswer/ML_Projects/discussions)\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\n\n\u003cdiv align=\"center\"\u003e\n\n### 🌟 Star this repository if you find it helpful!\n\n[![GitHub stars](https://img.shields.io/github/stars/Kedhareswer/ML_Projects.svg?style=social\u0026label=Star)](https://github.com/Kedhareswer/ML_Projects)\n[![GitHub forks](https://img.shields.io/github/forks/Kedhareswer/ML_Projects.svg?style=social\u0026label=Fork)](https://github.com/Kedhareswer/ML_Projects/fork)\n\n\u003c/div\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkedhareswer%2Fml_projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkedhareswer%2Fml_projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkedhareswer%2Fml_projects/lists"}