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Working to become, not to acquire
💭
Working to become, not to acquire
5 followers · 5 following
  • Data Science Master's student @ FAU Erlangen-Nürnberg
  • Erlangen, Germany

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Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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Achievements

Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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Nishk23/README.md

Hi there I am Nishanth Narayanan

  • 👨‍💼 I’m a Master's student at Friedrich-Alexander-Universität Erlangen-Nürnberg and 👨‍💻 also an Aspiring Data Scientist.
  • ❤️ I am an open-source enthusiast and maintainer. I learned a lot from the open-source community and I love how collaboration and knowledge sharing happened through open-source.
  • 🌱 I’m interested on Data Science, Machine Learning, Deep Learning, Tensorflow, Data augmentation and Data Visualization

GIF

  • 💬 Ask me about anything, I am happy to help.
  • 📫 How to reach me❓   Nishanth   Nishanth   Nishanth   Nishanth   Nishanth
  • 🏠 My other profiles❕  Nishanth  Nishanth
  • 😄 Pronouns: Committed with my Passion, Charming

My GitHub Journey

Nishanth








Nishanth

Programming Languages

Python Java SQL JavaScript

Frontend Technology

HTML5 CSS3 Bootstrap Angular

Backend Technology

Core Java Spring Spring Boot Hibernate JPA

Relational Databases

MySQL Oracle PostgreSQL

Tools

Git Eclipse IDE IntelliJ IDEA

➡️ More about myself will be coming in the future ⏲️

😁 So, feel free to take a look around 😀

Popular repositories

  1. spaCy-Custom-NER-creation spaCy-Custom-NER-creation Public

    Jupyter Notebook 28 28

  2. TextBlob-Spelling-Correction TextBlob-Spelling-Correction Public

    Jupyter Notebook 5

  3. Assitance-for-Blind-using-ML Assitance-for-Blind-using-ML Public

    Python 2

  4. Human-Activity-Recognition-Analysis Human-Activity-Recognition-Analysis Public

    Analytics projects of several datasets

    Jupyter Notebook 1

  5. Twitter-Sentiment-Analysis Twitter-Sentiment-Analysis Public

    Jupyter Notebook 1

  6. Movie-Lens-Analysis Movie-Lens-Analysis Public

    Recommendation system for movies based on ratings.

    Jupyter Notebook 1