Skip to content
View sajanbhagat's full-sized avatar
9 followers · 2 following

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Highlights

Block or report sajanbhagat

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sajanbhagat/README.md

Hi there 👋

I'm a problem solver, professional data scientist and computer vision engineer with hands-on experience in deep learning frameworks like TensorFlow and PyTorch

  • 🔭 Working as Manager - AI Labs at Subex Limited
  • 👯 I’m looking forward to collaborate on computer vision based research projects
  • 💬 Ask me about Data Sciences

Few Achievements

Get in touch

Pinned Loading

  1. LandMark-Group-Data-Science-Hiring-Challenge-Final-Solution LandMark-Group-Data-Science-Hiring-Challenge-Final-Solution Public

    LandMark Group Data Science Hiring Challenge Final Source Code

    HTML 1 3

  2. sajanbhagat.github.io sajanbhagat.github.io Public

    HTML 1

  3. Computer-Vision-Nanodegree Computer-Vision-Nanodegree Public

    this repository will include the projects that i have done in computer vision nanodegree from udacity

    Jupyter Notebook 1

  4. DeepLearning.ai DeepLearning.ai Public archive

    Deep Learning repository contains the projects that i finished in DeepLearning.ai Specialization by Andrew ng on Coursera

    Jupyter Notebook 1

  5. ZS-TakeHome-Assignment-Adds-Classification ZS-TakeHome-Assignment-Adds-Classification Public

    Jupyter Notebook 1

  6. dominance-analysis/dominance-analysis dominance-analysis/dominance-analysis Public

    This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or margi…

    Python 153 57