cybergeekgyan/Data-Science-Portfolio
Resources and Portfolio of my Data Science projects for academics, and self learning journey
This collection of resources helps aspiring data professionals navigate the various fields within data science, from data analyst roles to specialized areas like deep learning and natural language processing. It outlines a recommended learning path and highlights essential tools for building a career in data. Individuals looking to understand the landscape of data science and identify key skills for specific roles would find this valuable.
No commits in the last 6 months.
Use this if you are exploring a career in data science, machine learning, or deep learning and need a structured guide to essential topics and tools.
Not ideal if you are an experienced data scientist looking for advanced, niche technical solutions to specific implementation problems.
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7
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 18, 2024
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