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Hi there, I'm Shubham šŸ‘‹

I am a data scientist interested in building impactful and innovative solutions with data, sciences and passion! šŸ£

  • šŸ”­ I'm currently working as Data Science Associate Consultant at ZS Associates, India
  • šŸ‘Æ Iā€™m looking to collaborate on impact of climate change and transformative products
  • šŸ„… 2021 Goals: Contribute more to Open Source projects
  • āš” Fun fact: I love to draw and play chess

Skills:

Python šŸ | AI/ML šŸ¤– | Presentations šŸ•ŗ

Blogs:

  1. Introduction to Genetic Algorithm & their application in data science
  2. Introduction to Pseudo-Labelling : A Semi-Supervised learning technique
  3. Solving Multi-Label Classification problems (Case studies included)

āž”ļø more blog posts...

Reaching me out!

Reach me out over LinkedIn and Gmail

Shubham Jain's Projects

av_bigmart icon av_bigmart

Analytics Vidhya - Big Mart challenge solutions

awesome-public-datasets icon awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

kaggle2017 icon kaggle2017

Code, notes, etc of completed Kaggle competitions

mlens icon mlens

ML-Ensemble ā€“ high performance ensemble learning

multi-label-classification icon multi-label-classification

code for my article on multi-label classification. https://www.analyticsvidhya.com/blog/2017/08/introduction-to-multi-label-classification/

practical_mlops icon practical_mlops

Test the best practices of MLOPS from the Practical MLOps book by Noah

pyensembler icon pyensembler

Take any number of Machine Learning Models as Base Models and one Machine Learning Model as Top model to produce an ensemble of models in Python.

semisup-learn icon semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

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