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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

collect

Flexible tool for creating surveys of any type

connet

data-science-complete-tutorial

Notebooks to learn data science - Videos https://www.edyoda.com/resources/videolisting/1416/

flowable-engine

A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.

graphql-schema-first-codegen

:bowtie: This project is used to create graphql schema by merging multiple graphql files and then optionally generate Java codes

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

juniper

GraphQL server library for Rust

learn-react-app

Application that will help you learn React fundamentals. Install this application locally - there's tutorial, code snippets and exercises. The main objective of this project is to help you get off the ground with React!

math-in-the-modern-world

oauth4webapi

OAuth 2 / OpenID Connect for JavaScript Runtimes

practicalai

📚A practical approach to learning machine learning.

prisma-tools

Prisma tools to help you generate CRUD system for GraphQL servers

react-llm

Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. Just useLLM().

reqres

simplewebauthn

WebAuthn, Simplified. A collection of TypeScript-first libraries for simpler WebAuthn integration. Supports modern browsers and Node.

tungstenite-rs

Lightweight stream-based WebSocket implementation for Rust.