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This project forked from manojkumarkolli/livesentiment

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Conducting sentiment analysis on YouTube comments, categorizing them based on toxicity, proves beneficial in real-world scenarios, exemplifying practical applications.

JavaScript 40.91% Python 9.31% CSS 34.62% HTML 1.80% Jupyter Notebook 13.24% Shell 0.12%

sentify's Introduction

Hi 👋, I'm Akshaya Pujitha

I am an enthusiastic and committed software developer currently pursuing a degree in Computer Science and Engineering (CSE)

  • 🌱 Currently diving into AWS
  • 🔭 Passionate about Machine Learning and Software Development
  • 📍 Pursuing a degree in Computer Science and Engineering (CSE) at SVNIT

Skills

Python C C++ HTML5 CSS3 Bootstrap JavaScript Django Django REST Framework Flask PostgreSQL MongoDB MySQL NumPy Pandas scikit-learn Seaborn OpenCV TensorFlow Keras PySpark AWS Lambda AWS S3 AWS API Gateway

Connect with me:

linkedin GitHub Gmail

Feel free to reach out! Let's connect and collaborate.

sentify's People

Contributors

akshayapujitha avatar dependabot[bot] avatar manojkumarkolli avatar

Stargazers

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