30 open-source projects similar to ryanswanstrom/awesome-datascience-colleges, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
This project is a data science curriculum and instructional syllabus designed to teach the fundamental principles and tools of the field. It provides a structured set of learning materials, including R programming courseware and guides for statistical learning. The materials focus on the practical application of data science, covering data cleaning, visualization, and exploratory data analysis. It includes resources for mastering specific techniques such as linear regression, classification, and unsupervised learning. The curriculum is organized into a modular sequence of educational modules
freeCodeCamp is an open-source, web-based educational platform designed to facilitate software engineering skill acquisition through a structured, project-driven curriculum. It combines theoretical instruction with hands-on coding exercises, requiring users to build functional applications to demonstrate mastery of programming concepts. The platform provides a browser-integrated workspace that evaluates learner proficiency through automated testing of code submissions against predefined functional requirements. The platform distinguishes itself by integrating technical training with professio
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
This repository provides a curated collection of weekly datasets designed for data visualization practice, data science education, and statistical analysis. It serves as a central source for cleaned and structured real-world data, allowing practitioners to focus on analysis and visualization without the need to scrape or clean raw files. The project facilitates a community learning workflow where users can explore a wide variety of topics, ranging from global health spending and energy datasets to maritime logs and baby name popularity. Participants are encouraged to share their resulting vis
🐍 Quick reference guide to common patterns & functions in PySpark.
source code from the book Genetic Algorithms with Python by Clinton Sheppard
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
This project is an interactive data science environment that combines code execution, rich media visualization, and narrative documentation into a persistent, browser-based platform. It serves as a comprehensive educational resource for scientific computing, providing a framework for iterative data analysis and machine learning prototyping. The environment is distinguished by its focus on high-performance numerical computing, utilizing vectorized array operations and memory-mapped data structures to handle large-scale computations efficiently. It features a unified estimator interface that st
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
This project is a professional development repository that provides structured learning paths for individuals pursuing careers in data-centric engineering and artificial intelligence. It functions as a competency benchmarking framework, defining the core knowledge areas and technical milestones required to achieve proficiency in specialized domains. The repository distinguishes itself through hierarchical knowledge graphing, which organizes complex technical subjects into nested tree structures to create clear, progressive learning sequences. By centralizing curated educational resources and
This project is a curated collection of technical reference materials and study guides designed for machine learning interview preparation. It provides comprehensive resources for candidates pursuing engineering roles, focusing on deep learning, production infrastructure, and large-scale system design. The repository distinguishes itself through an architecture that combines theoretical research with industrial case studies. It utilizes a pattern-based approach to system design, breaking down complex deployments—such as recommendation engines, search ranking, and ad click prediction—into reus
Ways of doing Data Science Engineering and Machine Learning in R and Python
A curated list of useful open-sound-control applications, libraries, resources and shiny things
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Awesome and Best FastHTML Resources For Python Developers
This project serves as a comprehensive development guide for the jQuery library, focusing on best practices and techniques for efficient web frontend development. It provides a structured collection of patterns for manipulating the document object model, managing dynamic content, and streamlining asynchronous data requests. The guide emphasizes performance and maintainability by detailing strategies for optimizing element selection, implementing event delegation, and managing element state. It covers methods for resolving library conflicts, standardizing layout dimensions, and controlling bro
A collection of resources covering different aspects of Gatling load testing tool usage.
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
A curated list of the best resources in the Cassandra community.
A curated list of awesome Steam Deck software, resources and more.
This project is a curated directory of analytics frameworks and software designed to help users discover tools for measuring user behavior, SEO performance, and mobile application metrics. It serves as a comprehensive resource list organized by specific use cases and tracking requirements. The directory includes a categorized index focused on privacy-preserving analytics software that prioritizes data protection. It covers a wide range of domains, including product analytics for tracking user journeys, SEO performance monitoring for organic search visibility, and general web and mobile tracki
HelloGitHub is a centralized discovery platform and technical knowledge repository designed to help developers identify high-quality open-source projects, libraries, and infrastructure. It functions as a structured directory that aggregates specialized development tools and educational materials, organizing them by technical domain to facilitate efficient resource discovery and professional development. The platform distinguishes itself through a community-driven curation workflow, where manual editorial oversight filters the broader software ecosystem into thematic collections. This content
:tropical_drink: A curated list of awesome gulp resources, plugins, and boilerplates for a better development workflow automation - http://alferov.github.io/awesome-gulp
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
This project is a curated knowledge base and technical reference for professional web styling. It serves as a comprehensive guide to modern CSS best practices, focusing on techniques that leverage native browser capabilities to create efficient, maintainable, and scalable stylesheets. The collection emphasizes the use of declarative style logic and modern layout engines to replace brittle, imperative approaches. By prioritizing native pseudo-class state management, logical property mapping, and relative unit scaling, the guide demonstrates how to build responsive interfaces that remain consis
A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.
A curated list of awesome tools to create, edit and display sheet music.
A curated list of awesome links and software libraries that are useful for robots.
A curated list of software, hardware, and other resources to create music.