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Name: Naresh Kumar
Type: User
Bio: Sr. Machine Learning Engineer
Location: Bengaluru
Name: Naresh Kumar
Type: User
Bio: Sr. Machine Learning Engineer
Location: Bengaluru
Collection of shell scripts found on the internet
Notes and Python scripts for A/B or Split Testing
Repository holds all the contests and Hackathons from Analytics Vidya
How to build and deploy an anonymization API with FastAPI
Content for Applied ML Workshop @ DataHack Summit 2019
The art of effective visualization of multi-dimensional data
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
Analytics Vidhya Hackathons and Others
Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya
Curated list of AI-powered developer tools.
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Université Libre de Bruxelles
Materials for the Advanced Data Analysis Techniques with Apache Spark mini-course
Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL
Deploy and scale serverless machine learning app - in 4 steps.
Analysis of Categorical Encodings for dense Decision Trees
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
A complete computer science study plan to become a software engineer.
Coursera Machine Learning - Python code
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.