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Busy being awe(some)
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tranctan/README.md

Hi there 👋

I am a data-driven nerd. Please don't overfit me !

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  1. Kaggle-Data-Science-Bowl-2019 Kaggle-Data-Science-Bowl-2019 Public

    Kaggle Data Science Bowl 2019, key things that we learnt from one of the biggest data science competition

    Jupyter Notebook 4

  2. Feature-Scaling-on-Mobile-Price-Classification Feature-Scaling-on-Mobile-Price-Classification Public

    The scope of this works includes 2 distance-based models, which are KNN and SVM, and experiment how scaling features affects the performance of these 2 models. The work is conducted under the conte…

    Jupyter Notebook 2 1

  3. Gender-Classification-based-on-Twritter-textual-data Gender-Classification-based-on-Twritter-textual-data Public

    A comprehensive baseline model for Gender Classification based on Twitter Profile Data

    Jupyter Notebook 3 1

  4. vietnamese-text-cleaning vietnamese-text-cleaning Public

    Vietnamese Text Cleaning - A script of different cleaning steps for Vietnamese textual data. Conducted under the context of Zalo AI Challenge.

    Jupyter Notebook 3

  5. pandas_contribution.md pandas_contribution.md
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    # Pandas Contribution - How to get started
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    The kickstart contribution to Pandas library is one of the most valuable experience i have ever done (Thanks to my boss asking me to give a try with this). Throughout the process, i needed to lookup many certain things to make the first Pull Requests accepted, so it is worth noting here. It is better to take small steps first, so I chose a Python test case as a decent start.
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    This is mainly referenced from the [Pandas Contribution Document](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#id4) itself, but with many other necessary notes to conduct a test case in Python.
  6. About Python.md About Python.md
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    ---
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    title: About Python
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    tags: Python
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    ---
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