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Hello World! šŸ‘‹

It is exciting to be in this ever growing digital space and introduce myself.

I work as data scientist. My passion is in learning and doing projects related to LLM, NLP, Time Series models, Computer Vision, Deep Learning/Reinforcement Learning and any topics related to artificial intelligence. I am working on ML and LLM projects as well as generative AI Art, which is my ongoing project.

I would also love the opportunity to collaborate any projects, Hackathon or other challenges with you to develop the skills and applications together!

  • šŸ”­ Iā€™m currently working on mastering Software Engineering & App development
  • šŸŒ± Iā€™m currently learning Data Architecture / Cloud Computing, LLM and ChatGPT application
  • šŸ‘Æ Iā€™m looking to collaborate on Projects and Hackathon
  • šŸ¤” Iā€™m looking for help with making my README more visually appealing...
  • šŸ˜„ Pronouns: She/Her
  • āš” Fun fact: I love classical music and play the violin at orchestras
  • šŸš€ Hobbies: Coding, Painting, Hiking, Swimming and Dancing

Nicole Hong's Projects

ploomber icon ploomber

The fastest āš”ļø way to build data pipelines. Develop iteratively, deploy anywhere. ā˜ļø

pml2-book icon pml2-book

Probabilistic Machine Learning: Advanced Topics

posthog icon posthog

šŸ¦” PostHog provides open-source product analytics that you can self-host.

privategpt icon privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

probability_cheatsheet icon probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pycaret icon pycaret

An open source, low-code machine learning library in Python

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyldavis icon pyldavis

Python library for interactive topic model visualization. Port of the R LDAvis package.

pyprobml icon pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pysteps icon pysteps

Python framework for short-term ensemble prediction systems.

python icon python

All Algorithms implemented in Python

rasterio icon rasterio

Rasterio reads and writes geospatial raster datasets

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