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💭
Data Scientist & AIML Engineer

Suneel Patel suneelpatel

💭
Data Scientist & AIML Engineer
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Data Scientist/Data Analyst/Machine Learning Engineer with hands-on experience in Machine Learning, Deep Learning with TensorFlow, Hadoop & Apache Spark.
81 followers · 13 following
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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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  1. Python-for-Beginners Python-for-Beginners Public

    Find Real Python’s Beginners Roadmap for Learning Python! We also offer a beginner’s level user guide, which uses interesting examples to help you learn programming and web development. Happy Coding!

    Jupyter Notebook 38 30

  2. Natural-Language-Processing-NLP Natural-Language-Processing-NLP Public

    This repository will provide an overview and working knowledge of Natural Language Processing (NLP), using Python’s Natural Language Toolkit (NLTK) library and with Keras.

    Jupyter Notebook 1 2

  3. Python-for-Data-Scientists Python-for-Data-Scientists Public

    This repository will offer several learning strategies and advanced study material along with the interesting use case and programs that will help jump start your journey of becoming a data scienti…

    Jupyter Notebook 16 6

  4. Statistics-for-Data-Science-using-Python Statistics-for-Data-Science-using-Python Public

    Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application…

    Jupyter Notebook 48 18

  5. Machine-Learning-with-Python Machine-Learning-with-Python Public

    Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! This repository serves as an excellent introduction to implementing machine…

    Jupyter Notebook 14 17

  6. R-for-Data-Scientists R-for-Data-Scientists Public

    Learn the fundamentals of R programming, from reading and writing data to customizing visualizations and performing predictive analysis on data.

    R 4 3

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