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Achievement: QuickdrawAchievement: Pull Shark

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Achievement: QuickdrawAchievement: Pull Shark

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Vaitae/README.md

Hi

I'm currently pursuing my B.Tech in Computer Science. I have a keen interest in Web Development, Machine Learning and Deep Learning.

🔭 I’ve worked on

  • Developing Machine learning models for practical applications.
  • Implementing efficient algorithms.

🌱 I’m currently learning

  • Advanced concepts of Machine learning.
  • Applications of Python libraries in Data Science.

⚡ Technical Skills

  • Languages: C, Python, Java, SQL, HTML/CSS, Sass, JavaScript
  • Libraries & Framework: Bootstrap, Tailwind css, React, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
  • Tools: Git, GitHub, VSCode, Eclipse, Pycharm, Codeblocks, Power-BI

Pinned Loading

  1. fetal_distress_detection fetal_distress_detection Public

    The project focuses on analyzing the CTU-CHB Intrapartum Cardiotocography (CTG) dataset for predictive modeling.

    Jupyter Notebook 2

  2. GTZAN_Classification GTZAN_Classification Public

    The goal of this project is to apply various classification and regression techniques in Python to identify the best predictive model for classifying audio files into their respective genres.

    Python 2

  3. Loan-Approval-Prediction Loan-Approval-Prediction Public

    This project is designed to predict loan approval outcomes based on historical data.

    Jupyter Notebook 2

  4. Zerodha-Clone Zerodha-Clone Public

    This is a simple clone of the Zerodha website built using pure HTML and CSS. The goal is to replicate its design and layout, with plans to make it fully responsive.

    HTML 2

  5. Text-Utility-App Text-Utility-App Public

    A simple and intuitive text utility app built with React that allows users to perform various operations on their input text.

    HTML 2

  6. Zomato-Clone Zomato-Clone Public

    This is a simple clone of the Zomato website built using pure HTML and CSS. The goal is to replicate its design and layout, with plans to make it fully responsive.

    HTML 2