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A robot powered training repository :robot:

Home Page: https://lab.github.com/githubtraining/introduction-to-github

License: MIT License

Ruby 57.98% HTML 24.41% Shell 17.61%

github-slideshow's Introduction

๐Ÿ’ซ About Me:

I'm currently immersed in the realm of Machine Learning Engineering, utilizing Python and various frameworks like SciketLearn, and TensorFlow. I'm eager to collaborate on projects focused on deploying machine learning models in production environments. Currently, I'm seeking guidance on optimizing model performance and implementing advanced machine learning algorithms. I'm delving into the intricacies of designing algorithms to preprocess and clean large datasets efficiently. Feel free to reach out to me for discussions on machine learning model architectures, deployment strategies, or any aspect of AI development. On a lighter note, I'm an avid gamer and have a knack for creating visually appealing graphics.

๐ŸŒ Socials:

[Facebook](https://facebook.com/Bayode Enoch) Instagram [LinkedIn](https://linkedin.com/in/Bayode Enoch) [Medium](https://medium.com/@Bayode Enoch) Twitter

๐Ÿ’ป Tech Stack:

Sure, here's a categorized list of tools commonly used by ML engineers:

Programming Languages:

  • Python

Machine Learning Frameworks:

  • TensorFlow
  • Scikit-learn

Development Environment:

  • Jupyter Notebook

Data Manipulation and Analysis:

  • Pandas
  • NumPy

Containerization and Orchestration:

  • Docker

Version Control:

  • Git

Cloud Platforms:

  • AWS
  • Azure
  • Google Cloud Platform

Big Data Processing:

  • Apache Spark

Visualization:

  • Matplotlib
  • Seaborn

Web Frameworks:

  • Flask
  • FastAPI

Machine Learning Lifecycle Management:

  • MLflow

๐Ÿ“Š GitHub Stats:



๐Ÿ† GitHub Trophies

๐Ÿฆ Latest Tweet

โœ๏ธ Random Dev Quote

๐Ÿ˜‚ Random Dev Meme


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