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Name: Niranjan GD
Type: User
Bio: Data Science | Machine Learning | Big Data
Location: United States
Name: Niranjan GD
Type: User
Bio: Data Science | Machine Learning | Big Data
Location: United States
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
data collection , extraction , manipulation , processing, cleaning , modelling , visualization . ( Notes from Dr. Bryan Hammer , Professor, Oklahoma State University)
Lecture notes, lab notes, and links to helpful resources to pass Google Certification Exam for Professional Data Engineer.
Cheat Sheets
Examples and illustration of basic statistic concepts, probability distribution, Monte Carlo simulation, preprocessing and visualization techniques, and statistical testing.
scope of this project is to benefit DeMolay International, Stillwater Chapter, by providing context around their current trends of membership retention, membership recruitment, and membership quality
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
The DESI VII workshop will provide a platform for discussion of best practices and innovations in the use of advanced search technology, text classification, language processing, data organization, visualization and related techniques for the purposes of accessing and managing electronically stored information. One focus of the DESI VII workshop will be on emerging protocols and novel techniques for identifying and protecting sensitive information in large collections.
Notebooks for learning deep learning
Ready-to-run Docker images containing Jupyter applications
Python - SQL
Buiding Macro Economic Model using Vector Auto regression
Always know what to expect from your data.
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
My jupyter notebooks/code samples from Chris Albon's Machine Learning with Python Cookbook
Flask for data science
Set of real world data science tasks completed using the Python Pandas library
DMH DATA INSIGHTS Top Coder Competition on Data Science , top 4% in the competition
R exercises and examples
Shell Scripting
Spark and Hadoop for Data Ingest , Transform , Store , Stage , Data Analysis for Big Data
CSV Data Source for Apache Spark 1.x
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Zipline, a Pythonic Algorithmic Trading Library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.