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This repository consist of projects related to Natural Language Processing using machine learning and deep learning concepts

License: Apache License 2.0

Jupyter Notebook 99.86% Python 0.14%
deep-learning gru lstm machine-learning natural-language-processing neural-network bert-model transfer-learning transformer natural-language-understanding

natural-language-processing's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @Balaji Haridasan
  • ๐Ÿ‘€ Currently working as Junior Data scientist in Chubb Business Service India, Bangalore
  • ๐Ÿ‘€ Iโ€™m interested in Data Science and Artificial Intelligence
  • ๐ŸŒฑ Iโ€™m currently learning Data Science
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Data science projects
  • ๐Ÿ“ซ How to reach me [email protected]
  • ๐Ÿ“ซ Know about me on https://www.linkedin.com/in/balaji-hari1994/

ABOUT ME:

A solutions-driven Data science and Machine learning enthusiast with experience in real-time data handling projects ensuring the accuracy and integrity of the data and actionable insights. Prepared to work with team and intern in predictive modeling and insights reporting to boost efficiency, strategic goal, and profits.

I am perseverant with a never say die attitude. I constantly try to challenge myself to reach new heights and have fresh learning experiences. I always think that there is always something to learn. I enjoy collaborating with others to gain a different perspective to refine strategies.

Outside academics, I enjoy watching and playing cricket, music, and reading Magaziness. I also have a newfound interest in Data science(DS), Artificial Intelligence(AI), Machine Learning(ML), and Computer Vision(CV), Natural Language Processing(NLP). If you ever want to get in touch with me, I am always available via email at [email protected] or [email protected].

"Difficulties in your life do not come to destroy you but to help you realize your hidden potential and power. Let difficulties know that you too are difficult." - APJ Abdul Kalam

Things I code with

python Anaconda Jupyter Notebook NumPy Pandas Scipy SkLearn flutter MatPlotLib plotly opencv karas tensorflow flask postman github docker linux kubernetes streamlit heroku ubuntu gcp azure sql mongodb neo4j

Career path for a Machine Learning Engineer

  1. Maths_for_Data_Science

  2. Pre_Requisites_For_Data_Science

  3. Data_Analysis_And_Visualisation

  4. Feature_Engineering

  5. Machine_Learning

    5.1 Classification

    5.2 Regression

    5.3 Time_Series_Analysis

  6. Machine_Learning_Case_Studies

  7. Advanced_Machine_Learning

  8. Deep_Learning

  9. Deep_Learning_Case_Studies

  10. Explainable_AI

natural-language-processing's People

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