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bluntjudg/README.md

Hi there, I'm Ayush S. Pangaonkar 👋

👨‍💻 AI & ML Buff | Python Enthusiast | Build, Learn, Grow | Innovator & Builder | Lifelong Learner

Welcome to my GitHub profile! I'm a 19-year-old AI and ML enthusiast, passionate about leveraging technology to create innovative solutions and tackle real-world problems. With a strong foundation in Python, I love building and developing cutting-edge projects.

🚀 About Me

Name: Ayush S. Pangaonkar

Age: 19

Interests: Artificial Intelligence, Machine Learning, Python, Data Science, Innovation, Technology

Education: Currently pursuing studies in AI and Machine Learning

Certifications: 1. Oracle Cloud Infrastructure of AI certification 2. intern at Mukesoft software solutions company

💼 Skills

Programming Languages: Python, R, Javascript

Technologies: Machine Learning, Deep Learning, Data Analysis, Cloud Computing (Oracle Cloud)

Tools: Jupyter Notebook, TensorFlow, Keras, Scikit-Learn, Pandas, NumPy, Node.js

Soft Skills: Problem Solving, Collaboration, Continuous Learning, Leadership

🌱 I’m Currently Learning

Advanced Machine Learning techniques

Deep Learning frameworks and applications

Cloud-based AI services and deployment

🛠 Projects

Here are a few projects I've worked on:

Self GPT -> Describes about me 😉.

Human Face detection -> input camera detects the human face.

Weather app -> using API get the location's weather report.

📫 How to Reach Me

LinkedIn: Ayush S. Pangaonkar

Email: [email protected]

🤝 Let's Connect

I'm always excited to connect with like-minded individuals and explore opportunities for collaboration. Feel free to reach out to me on LinkedIn or via email!

Keep learning , keep growing....🔃📈

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  1. face-detection- face-detection- Public

    This is a project of python where the faces of humans are detected

    Python

  2. Diabeties-prediction-all-models- Diabeties-prediction-all-models- Public

    Diabetes prediction using machine learning involves developing models to forecast diabetes onset based on patient data like age, BMI, blood pressure, and glucose levels. Techniques include logistic…

    Python

  3. Movie-Recommendation-system---python-and-juypter- Movie-Recommendation-system---python-and-juypter- Public

    This project uses machine learning to create a personalized movie recommendation system. By combining collaborative filtering and content-based filtering, it analyzes user preferences and movie att…

    Jupyter Notebook

  4. Iris---classification- Iris---classification- Public

    Iris project classification - Machine Learning

    Jupyter Notebook

  5. Titanic---Prediction-classification- Titanic---Prediction-classification- Public

    In our Titanic dataset project, we predicted passenger survival using machine learning. We cleaned the data, handled missing values, and engineered features like FamilySize. After exploratory analy…

    Python