apurvasijaria Goto Github PK
Name: Apurva Sijaria
Type: User
Bio: Data Scientist
Location: Bangalore, India
Apurva Sijaria's Projects
awesome
:sunglasses: Curated list of awesome lists
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-creative-coding
🎨 Creative Coding, Generative Art, Interaction Design, Resources.
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-r
A curated list of awesome R packages, frameworks and software.
aws-hands-on
Codes for AWS hands on
aws-projects
Personal Projects on AWS (In free tier)
banking-networks-and-contagion
bankingnetworks
binaryconnect
Training Deep Neural Networks with binary weights during propagations
cg-accumulator
Accumulates CG of students in IIT Kharagpur
creativeprogramming
data_science_competitions
dataanalytics
datasciencer
a curated list of R tutorials for Data Science, NLP and Machine Learning
digital_ad_bidding_revenue
Predicting revenue for a digital ad agency where advertisers bid for a slot
ebook
A collection of classic computer science books from Internet
financial-analytics-lab
fos-proposals
:gift_heart: :penguin: Expressing love for Open Source
frontend-nanodegree-resume
git
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
github-for-developers-7
goodreads_scraper
Codes to scrape information about reader's shelf, books stats, reviews, author's info etc. using python and beautiful soup
googleplaystorescrape
Python module to extract Google Play store reviews and other information of any android app.
h2o-3
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
hackerrank
knocktober-2016
Codes related to Knocktober 2016
lecture_files
MATLAB scripts used in the lectures
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