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inkarar/README.md

Nirakar Padhy is a results-driven Senior Data Scientist with a proven track record of leveraging advanced analytics and machine learning to drive business growth. He excels in crafting innovative solutions and implementing scalable ML pipelines that deliver measurable value. With deep proficiency in Python, Spark, AWS, SQL, and MLOps, Nirakar has built expertise in developing recommender systems, entity recognition models, and predictive algorithms. His work consistently achieves high accuracy rates, leading to significant cost reductions and impactful, data-driven insights that propel business success. Reach out to me on LinkedIn: https://www.linkedin.com/in/nirakar-padhy/

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  1. Socio-Economic-Analysis-of-World Socio-Economic-Analysis-of-World Public

    Python

  2. Airplane-Passengers-Prediction-App Airplane-Passengers-Prediction-App Public

    Python

  3. cs224n cs224n Public

    Forked from leehanchung/cs224n

    Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020

    JavaScript

  4. cs229-2018-autumn cs229-2018-autumn Public

    Forked from maxim5/cs229-2018-autumn

    All notes and materials for the CS229: Machine Learning course by Stanford University

    Jupyter Notebook

  5. MIT-6S191-Deep-Learning MIT-6S191-Deep-Learning Public

    Forked from thanhhff/MIT-6S191-Deep-Learning

    This repository contains all of the code and software labs for MIT 6.S191: Introduction to Deep Learning

    Jupyter Notebook

  6. Deep-Learning-Computer-Vision Deep-Learning-Computer-Vision Public

    Forked from seloufian/Deep-Learning-Computer-Vision

    My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

    Jupyter Notebook