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Jupyter notebooks (python code) for all 9 courses of the Data Science Professional Certificate from IBM on Coursera.

License: MIT License

Jupyter Notebook 96.17% HTML 3.83%
data-science data-analysis data-visualization python ibm coursera-data-science coursera-machine-learning coursera-assignment coursera-specialization coursera-course

ibm.data.science.professional.certificate's Introduction

Hello, there šŸ‘‹

vanAkim | postcard vanAkim | Twitter vanAkim | Linkedin

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I'm currently a data scientist, a graduate engineer and my first love is physics.

1ļøāƒ£ For now, I enjoy using R and Python (especially through Jupyter Notebook). I am always ecstatic when I discover a new functionality in the different packages of data manipulation, dataviz, and regressions and machine learning.

2ļøāƒ£ Less regularly, I touched a lot of other frameworks, such as the creation of maps, database management, interactive solutions, text analysis.

Action Tools & Framework
Coding image image image image image image
Data manipulation image image image image
Dataviz image image image
Machine Learning image image image image image
Maps image image
SQL image image image
Interact image image
Text mining image image
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Trending Github projects and their main resources (most recent top)

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    - Timeline: UCDavis Specialization, Capstone project. Spring 2021
    - Topics: Python & Jupyter Notebook, SQL, EDA, Data analysis, Regression, Dataviz

  • image image
    - Timeline: Personal project. Early 2021
    - Topics: Python, Get & Clean, Dataviz, API, Twitter, Github Actions

  • image
    - Timeline: IBM Specialization, Capstone project. Late 2020
    - Topics: Python, EDA, Machine learning, Data analysis, Dataviz, Maps

  • image image
    - Timeline: JHU Specialization, Capstone project. Late 2020
    - Topics: R, NLP & Text mining, EDA, Dataviz, Data products

  • image image
    - Timeline: JHU Specialization, Data Products project, course nĀ°9. Late 2020
    - Topics: R, Get & Clean, Dataviz, Maps, Data products

  • image
    - Timeline: JHU Specialization, Practical Machine Learning project, course nĀ°8. Late 2020
    - Topics: R, Machine learning, Dataviz

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