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saish05/README.md

Hi 👋, I'm Saish

A passionate Data Scientist and Machine Learning Enthusiast from India

Coding

  • 🏫 I am currently a 3rd year CS student at IIITDM Kancheepuram

  • 🧑‍💻 I love getting lost in machine learning and attempting to solve real-life problems.

  • 👯 I’m looking to collaborate on thrilling machine-learning projects.

  • 🤝 Seeking guidance in mastering advanced ML techniques.

  • 🤓 Committed to continuous learning and expanding my knowledge base.

  • 📫 How to reach me [email protected]

Connect with me:

saish05

Languages and Tools:

blender c cplusplus figma git javascript linux matlab mongodb mysql opencv pandas php python pytorch scikit_learn seaborn tensorflow

saish05

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  1. News-Article-analysis-with-NLP News-Article-analysis-with-NLP Public

    The Text Analysis Toolkit is a Python-based tool for analyzing textual data extracted from articles. It performs sentiment analysis, calculates readability metrics, and extracts key linguistic feat…

    Jupyter Notebook 1

  2. Bone-age-estimator Bone-age-estimator Public

    This project estimates bone age from hand X-ray images using the Xception model. It preprocesses images with techniques like LOG, Gaussian Gradient, Sobel, and Canny Edge Detection. The RSNA Bone A…

    Jupyter Notebook

  3. Breast-cancer-prediction Breast-cancer-prediction Public

    Breast cancer prediction project leveraging machine learning techniques. It aims to accurately predict breast cancer occurrence using data-driven models, aiding in early detection and proactive hea…

    Jupyter Notebook

  4. Smart-Parking-System Smart-Parking-System Public

    An intelligent parking solution powered by AI and Computer Vision, providing real-time monitoring of parking space availability and enhancing parking efficiency

    Jupyter Notebook 1

  5. Josaa_predictor Josaa_predictor Public

    A website to predict the seat that is going to be allotted based on your choice filling

    HTML 1

  6. Neural-Architecture-Search Neural-Architecture-Search Public

    This project aims to automate the process of neural architecture search (NAS) for optimizing convolutional neural networks (CNNs) for image recognition tasks.

    Jupyter Notebook