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This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

License: MIT License

Python 100.00%

deeplearning.ai-summary's Introduction

Hi there ๐Ÿ‘‹

This is Sanket!

Linkedin

Welcome to my Github page! I am a technology enthusiast and growth oriented individual with 4+ years of experience as Data Scientist and ML Engineer. I completed my master's in Data Science from Rutgers University and my Bachelors's from IIT Roorkee.

My Expertise:

Machine learning, Big Data, Scalable machine learning, Deep learning, ML system design, MLOps, Map Reduce, ML Engineering, Computer Vision, NLP, Statistical Analysis, and Data Structure & Algorithms.

img

๐ŸŒฑ Major open source projects I am working/worked on:

  • Red Hat
  • Data science & python workshops delivered at Rutgers Repo
  • Open source ML Algo library SRC

๐Ÿ’ช Things I am learning:

  • I'm learning to become Full stack ML developer
    • Kubeflow Pipelines
    • Kafka
    • Kubernetes
    • Distributed computing (Already worked a lot and learning more)
  • Learning ML Design by reading research papers and ML blogs of different companies

๐Ÿ’ป Programming languages:

๐Ÿ’ป Database:

๐Ÿ’ป Tools:

deeplearning.ai-summary's People

Contributors

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Forkers

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