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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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Vengatesan-K/README.md

Welcome to My GitHub Profile! 🌟

Black Green Modern Digital Marketing Open to Work LinkedIn Banner (6)

👨🏻‍💻 Currently working on predicting future outcomes using current trends and converting complex issues into actionable insights.

📖 Learning about Machine Learning and using it to forecast predictions.

👀 Seeking opportunities to collaborate on projects involving Data science and Data analysis.

💬 Ask me about Machine Learning, NLP, Deep learning, Python,Visualization and Database like SQL and MongoDB

coding

📫 How to reach me 📧Vengatesan26@yahoo.com

Connect with me :

vengatesan@2997 vengatesan2612

Programming tools and libraries :

python scikit_learn mongodb mysql pandas photoshop postgresql seaborn

Feel free to explore my repositories and contributions. Don't hesitate to reach out if you have any questions or would like to collaborate. I'm always open to new opportunities and challenges! Happy coding! 🚀

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  1. Airbnb-Analysis Airbnb-Analysis Public

    Create dynamic plots to gain insights into pricing variations, availability patterns, and location-based trends.

    Jupyter Notebook

  2. Industrial-Copper-Modeling Industrial-Copper-Modeling Public

    Develop a machine learning solution that predicts the selling price of copper based on historical transaction data and classifies the status of each transaction.

    Jupyter Notebook

  3. NEET-Exam-Analysis NEET-Exam-Analysis Public

    Jupyter Notebook

  4. NewsClassifier NewsClassifier Public

    Building an Automated News Classification System with NLP Techniques

    Jupyter Notebook

  5. Resume-Analyzer-AI Resume-Analyzer-AI Public

    Analyzing and providing a detailed review of a given resume

    Python

  6. Retail-sales-forecast Retail-sales-forecast Public

    Designed to offer a user-friendly interface that allows users to input a specific date and receive information about what happened on that particular day, especially in terms of retail sales.

    Jupyter Notebook