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This repository showcases my journey and accomplishments as a growing data scientist. I aim to document the new techniques I learn, the challenges I face, and the solutions I devise. The projects here highlight my skills in data analysis, machine learning, and data visualization.

Python 1.09% Jupyter Notebook 98.91%

data-science's Introduction

๐Ÿ“Š My Data Science Portfolio

Hey there! ๐Ÿ˜Š This is where I dump all the cool stuff I'm learning and doing in data science. Think of it as my digital sandbox where I play with data, algorithms, and sprinkle in some visualizations.

What's Inside? ๐Ÿ“ฆ

  • app.py: The heart of this portfolio. Run this with Streamlit and see the magic unfold!
  • datasets/: All the datasets I tinker with. Some cool, some weird, all interesting!
  • notebooks/: My Jupyter notebooks. This is where I scribble down my data stories, from raw data to shiny insights.
  • models/: Ever wondered how I taught a computer to predict stuff? The secret sauce (read: trained models) is here.
  • assets/: Just some images and stuff to make everything look snazzier.

Wanna Dive In? ๐ŸŠโ€โ™‚๏ธ

Fire up app.py with Streamlit and take a tour!

streamlit run app.py

Got Suggestions? Or Just Wanna Chat? ๐Ÿš€

I'm all ears! This is my playground, but I love it when folks drop by with ideas, suggestions, or just to say "hi". If you've got some code improvements or cool ideas, shoot a pull request. If you just wanna chat about data, algorithms, or the meaning of life, hit me up on Linkedin

Stay curious and keep coding! ๐Ÿ’ปโœจ

data-science's People

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