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Hi there 👋, I am Mayur Mahurkar

  • 🔭 I’m currently working at Nsemble.ai and also a freelance Data Science and Machine Learning Educator.
  • 🌱 I’m currently learning Computer Vision and Deep Learning at its's depth. :D
  • 💬 Ask me about Statistics, Machine Learning and Data Analysis.
  • 📫 How to reach me: [email protected]
  • ⚡ Fun fact: I started my career as a lecturer in Statistics. I love football (soccer) and like to explore on topics such as World War 2, Historic Battles, Weapons and Interstellar stuff.

Mayur Mahurkar's Projects

2015lab4 icon 2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

cookbook-2nd-code icon cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

covid-19 icon covid-19

Novel Coronavirus 2019 time series data on cases

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

data-science icon data-science

Collection of useful data science topics along with code and articles

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

feature-engineering-book icon feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

gdxray-retinanet icon gdxray-retinanet

This project applies the RetinaNet object detector on the GDXray dataset, Castings group.

handy_scripts icon handy_scripts

This repo consists of scripts that come in handy for repetitive works such as bulk unzipping, copying files, sorting images according to their size etc. I try to automate such tasks and I am looking forward to adding many more such scripts.

introductiontoprobabilitypy icon introductiontoprobabilitypy

Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition

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