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Name: Sarvesh
Type: User
Name: Sarvesh
Type: User
My Answer to 120 Data Science Interview Questions
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Minimal examples of data structures and algorithms in Python
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
This is Andrew NG Coursera Handwritten Notes.
Using RL for anomaly detection in NSL-KDD
This repo has all the code files which were created as part of the assignments to complete the Applied AI Course. The credit for code source structure and data goes to the Applied AI team.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
:book: List of some awesome university courses for Machine Learning! Feel free to contribute!
:octocat: Machine Learning for Cyber Security
A curated list of awesome quantum computing learning and developing resources.
Reinforcement learning resources curated
This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems
list of papers, code, and other resources
Notebooks about Bayesian methods for machine learning
Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
A complete computer science study plan to become a software engineer.
List of Computer Science courses with video lectures.
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Data Science Questions and Answers (General) for beginner
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
A collection of various deep learning architectures, models, and tips
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Jupiter Notebooks for the CSC310 "Programming for Data Science" course at the University of Rhode Island.
Compilation of resources and insights that helped me on my journey to data scientist
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.