Kunal Jain (kunalp-jain)

kunalp-jain

Geek Repo

Location:Chennai

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Kunal Jain's repositories

Benchmark_DataIdentity

Benchmark Solution of Data Identity Hackathon

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code-vault

Collection of useful notebooks and snippets

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DAT8

General Assembly's 2015 Data Science course in Washington, DC

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every-programmer-should-know

A collection of (mostly) technical things every software developer should know

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experiments_with_python

experiments with python

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Face-recognition

Face recognition and its application as attendance system

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fastai

The fast.ai deep learning library, lessons, and tutorials

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imad-app-v2

Base repository for IMAD V2 course application. PLEASE DO NOT submit PRs, or push to this git repository!

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local-development

Run Hasura locally on your computer

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Login-Page-using-Hasura-JSsdk

A simple login page for user authentication and session management to be used with Hasura platform build using Hasura JS sdk

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ml-cheatsheet

Machine learning cheatsheet

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model-deployment

This playlist covers model deployment covered as part of course in YouTube - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5PlN1jwOB3jVZE6nYTVswk

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notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

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pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

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Python

Python code for YouTube videos.

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

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sklearn_tutorial

Materials for my scikit-learn tutorial

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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Travel-guide

Hotel booking for my miniproject

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trump-lies

Tutorial: Web scraping in Python with Beautiful Soup

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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