shailysaigal Goto Github PK
Name: Shaily Saigal
Type: User
Bio: Product Manager | Data Enthusiast
Location: San Jose, CA
Name: Shaily Saigal
Type: User
Bio: Product Manager | Data Enthusiast
Location: San Jose, CA
Curated list of resources for college students
Traffic Violation by County
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 Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
A curated list of awesome ETL frameworks, libraries, and software.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A curated list of awesome Python frameworks, libraries, software and resources
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Quiz & Assignment of some courses I learned.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Cheat Sheets
Data Science Tutorials
Demonstrations of DBT
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning code and presentation
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
List of Data Science Cheatsheets to rule the world
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera
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This repository contains IPython notebooks that I have written.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.